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We back the best founders at MIT and Harvard early,
help them build, and double down when they break out.
Confidential - For Qualified Investors Only
Disclaimers
This presentation (this "Presentation") has been prepared solely for, and is being delivered on a confidential basis to, a limited number of sophisticated prospective investors considering an investment in TNT Fund I, LP, a private investment vehicle (the "Fund") to be formed in the future, as described herein. This Presentation does not constitute an offer to sell or a solicitation of an offer to purchase limited partnership interests (the "Interests") in the Fund. Any such offer or solicitation will only be made pursuant to the Limited Partnership Agreement and Subscription Agreement of the Fund, each as amended and/or supplemented from time to time (the "Offering Documents"), which qualifies in its entirety the information set forth herein. Actual terms, and other important information which prospective investors should consider before making a decision to invest in the Fund, will be contained in the Offering Documents.
This Presentation contains confidential, proprietary, trade secret and other commercially sensitive information. Any reproduction or distribution of this Presentation, in whole or in part, or the disclosure of its contents, without the prior written consent of TNT Fund Management LLC (the "Manager"), which will serve as the Fund's investment manager, is prohibited and all recipients agree they will keep confidential all information contained herein and not already in the public domain and will use this Presentation for the sole purpose of evaluating a possible investment in the Fund. By accepting this Presentation, each prospective investor agrees to the foregoing.
The Interests will not be approved or disapproved by any securities regulatory authority of any state or by the Securities and Exchange Commission or by any securities regulatory authority in any other jurisdiction, nor will any such authority or commission pass on the accuracy or adequacy of this Presentation. Any representation to the contrary is a criminal offense. The Interests will not be registered under the U.S. Securities Act of 1933, as amended (the "Securities Act"), the securities laws of any other state or the securities laws of any other jurisdiction, nor is such registration contemplated. The Interests will be offered and sold in the United States under the exemption provided by Section 4(a)(2) of the Securities Act and/or Regulation D promulgated thereunder and other exemptions of similar import in the laws of the states and jurisdictions where the Fund's offering will be made.
Prospective investors should make their own investigation of the investment described herein, including the merits and risks involved and the legality and tax consequences of such an investment. Prospective investors should not construe the contents of this Presentation as legal, tax, investment or accounting advice. Each prospective investor should make its own inquiries and consult its advisors as to an investment in the Fund and as to legal, tax, regulatory, financial, accounting and related matters concerning an investment in the Fund.
Overview
The Market
The best venture returns come from the best founders. MIT and Harvard produce a disproportionate share.
| Metric | MIT/Harvard | Source |
|---|---|---|
| Unicorn founders produced | Harvard #2 (205), MIT #3 (184), behind Stanford (296) | Strebulaev, Stanford Venture Capital Initiative |
| VC-backed founders (undergrad) | Harvard #3, MIT #5 nationally | PitchBook University Rankings (2025) |
Highlighted = founded after 2020.
The Problem
School programs, student clubs, and classes each do a little. But none do enough on their own, they don't work together, and students end up operating in silos. We work with all of them.
A PhD at CSAIL with breakthrough research can't find a co-founder to help commercialize it. An MBA at HBS with industry expertise can't find a technical partner to build with. They're two miles apart, and the structured ways to meet are limited, so they hustle and often never connect. The programs don't bridge them. The clubs reset every year. The classes end. And the best founders don't slow down. They leave for San Francisco to find opportunities that should already exist here.
What's missing isn't another school initiative. It's the connective tissue that ties them all together, shapes the entrepreneurial culture, and stays with founders as they get serious.
Why TNT
We're not a student club and we're not a university program. We're a professionally run organization dedicated to finding, funding, and supporting the best founders across MIT and Harvard, often before they even have a company.
We work with the student clubs, faculty, and centers across MIT and Harvard. Our fellows are leaders of the most important clubs at both schools. We have relationships with CSAIL, the Trust Center, i-Lab, Rock Center, and the Harvard Grid.
Delta v is MIT only. i-Lab is Harvard only. We're the only organization connecting founders across both campuses. A CSAIL PhD meets an HBS MBA through us.
Student entrepreneurs who run the programming, surface founders, and keep the flywheel turning. Not resume-building VC scouts. Builders who care. And TNT persists as a company, not a club that resets every 2 years.
We're not the program the school tells you to join. We're the one your friends are talking about. Founders tell other founders, and our newsletter has grown to 2,000+ subscribers organically. That's how culture gets built.
By the time founders are ready to raise, we've already been building the relationship through our community, events, and mentors. We're the first call, not the last.
The Sourcing Engine
No scouts, no cold outreach. Each layer of programming surfaces and develops founders. The best ones rise into the accelerator.
Firesides with the founders of Cloudflare, Boston Dynamics, Formlabs, Ginkgo, Liquid AI, and more. Students see what's possible.
We pair technical and business founders across MIT and Harvard. PhDs meet MBAs. Engineers meet operators. The cross-campus bridge.
Community nights and hackathons where founders work side by side, form teams, and ship. We see who's serious and who has momentum.
The best teams enter the cohort. $150K investment, credits, dedicated mentors, VC intros, and Demo Day. Now we're their first investor.
The Accelerator
With the fund, we invest $150K MFN SAFE to get in early. The program helps them get to their seed round. When they raise their Series A, we have the right to increase our investment with conviction built from watching them build.
Capital, mentors, credits, VC intros, and a demo day in front of 300+ attendees.
"TNT connected us to the community in a way that changed our business. We raised our first round through VC introductions from the program, and we're now hiring out of MIT and Harvard."
Trevor Keith CEO, Solid ($6M raised)
Selection
Founders come to us. Our fellows are embedded across MIT and Harvard labs, clubs, and classrooms, giving us access to founders months before they raise or even form companies. By the time founders apply, we've already watched them build. We don't chase deals. Deals come to us through the community we built.
Exploring: Work trials where top teams execute on a real milestone before admission.
Track Record
Three cohorts since January 2025. $25M+ raised by companies that came through our program, all before we had a fund. Fund I puts capital behind the pipeline we've already proven.
AI-powered full-stack app builder for entrepreneurs and agencies
AI agents that never lose context, born out of MIT CSAIL research
AI-native engineering services holding company
Building the most power-dense energy system
AI back-office for industrials and manufacturing
Quantum cameras for earth and space intelligence
Automates deal execution for investment banks
AI infrastructure born out of leading research at MIT CSAIL
Representative selection. Does not include all cohort companies. Cohorts are composed of PhD, undergraduate, and MBA founding teams.
Team
Founder & General Partner
Selected and supported 45+ MIT and Harvard startups across 3 cohorts, building relationships with founders months before they raise. Portfolio companies have collectively raised $25M+. Built the sourcing infrastructure from inside both campuses with direct relationships across CSAIL, the Trust Center, i-Lab, and key student organizations. Previously helped B2B tech companies with AI, product, and GTM strategy at Thinktiv. Started in consulting at Deloitte.
Promoted from our current TNT Fellows. Leads day-to-day cohort operations, on-campus sourcing, and founder support. Embedded on campus with deep MIT/Harvard ties.
Current MIT and Harvard students who run events, manage community, and surface founders from every lab, club, and classroom. The pipeline renews every year.
Co-founder & Chairman, HubSpot
Sequoia / MIT Sloan Faculty
CEO, Ginkgo Bioworks
Managing Partner, Tectonic Ventures
MIT Sloan Faculty
Additional operators and investors being added in 2026.
Timing
City, state, and private capital are converging on Boston. Sequoia is running programming here. Top-tier VCs are increasing their Boston presence. More attention validates the ecosystem, but none of them are embedded where the deals originate. TNT is already there, with nearly 200 applications per cohort and $25M+ raised across 3 cohorts.
Three cohorts, $25M+ raised by portfolio companies, and a proven selection process, all before we had a fund. Fund I puts capital behind the pipeline we've already built.
MIT and Harvard produced Cursor ($50B), Etched ($5B), Liquid AI ($2.7B), and Suno ($2.5B) in the last 3 years. The next wave is already in our cohorts.
VCs are increasing their Boston presence, but founders still leave for SF because there's no community, capital, or support system to keep them building here. TNT is that infrastructure.
When anyone can build software, the advantage shifts to teams with proprietary research, deep domain expertise, and technical moats. MIT and Harvard have the deepest concentration of that talent in the world.
The Fund
Every company receives $150K via uncapped MFN SAFE. We help them build through mentors, credits, VC intros, and demo day. When they raise their Series A, the TNT Agreement gives us the contractual right to invest in 2% at whatever terms the lead sets. Use it or lose it.
Why this matters: We help make these companies attractive to top-tier VCs. When Sequoia or a16z leads the Series A, our allocation is contractual, not discretionary. We don't chase hot deals. We create them and follow on.
$15M gets us into 100 companies at pre-seed. $10M follows the best 5 at Series A. We invest early to get visibility, run them through our accelerator program, and follow on with conviction into the companies we know best. Remaining Series A rights are exercised via SPV (0% fee, 20% carry), giving Fund I LPs priority access to co-invest in every deal. Fund I builds the platform. Fund II scales it.
One fund, one return number. For Series A rounds that exceed per-company reserve allocation, Fund I LPs have priority access to co-invest via SPV. The hottest deals become exclusive LP opportunities.
The Barbell Strategy
The $150K is the call option. We invest at pre-seed or seed to build the relationship. The value-add makes the option valuable. Mentors, credits, VC intros. The 2% at Series A is the exercise. When a top firm leads the round, our allocation is contractual, not discretionary.
| Stage | We Invest | Dilution | Our Ownership | Position Value |
|---|---|---|---|---|
| Pre-seed (MFN) | $150K | -- | SAFE | $150K |
| MFN converts at pre-seed ($15M post) | -- | -- | 1.00% | $150K |
| After Seed round | -- | ~15% | 0.85% | ~$150K |
| Series A + 2% right ($100M post) | ~$2M | ~18% | 2.70% | $2.70M |
| After Series B + C | -- | ~25% cumulative | ~2.02% | -- |
| $500M Exit | -- | -- | ~2.02% | $10.1M |
| $1B Exit | -- | -- | ~2.02% | $20.2M |
| $5B Exit | -- | +Series D ~10% | ~1.90% | $95.0M |
| $10B Exit | -- | +Series D+E ~15.4% | ~1.73% | $173.0M |
Illustrative example. $150K MFN converting at $15M median pre-seed valuation (TNT portfolio observed), ~$2M follow-on (2% at $100M post Series A). Pre-seed to seed dilution ~15% (TNT observed). A/B/C dilution from Carta 2025 median data.
Fund Returns
These 5 companies are a subset of the MFN portfolio below. This table shows the additional return from the 2% right (1.50% at exit after dilution). MFN returns on these same companies are already included in the MFN table.
| Scenario | Total | Fail | Small Exit $10-50M | Moderate $50-200M | Solid $200-500M | Breakout $500M-1B | Unicorn $1B | Decacorn $10B | Return |
|---|---|---|---|---|---|---|---|---|---|
| Stress | 5 | 2 | - | 1 | 1 | 1 | 0 | 0 | $17.2M |
| Base | 5 | 1 | - | 1 | 1 | 1 | 1 | 0 | $32.2M |
| Target | 5 | 0 | - | 1 | 1 | 1 | 2 | 0 | $47.1M |
| Upside | 5 | 0 | - | 1 | 1 | 1 | 1 | 1 | $166.8M |
MFN converts at ~$15M median. Includes the 5 FO companies (their MFN returns). FO table above adds the additional 1.50% ownership layer on those 5.
| Scenario | Total | Fail | Small Exit $10-25M | Moderate $50-200M | Solid $200-500M | Breakout $500M-1B | Unicorn $1B | Decacorn $10B | Return |
|---|---|---|---|---|---|---|---|---|---|
| Stress | 100 | 57 | 20 | 14 | 7 | 1 | 1 | 0 | $28.9M |
| Base | 100 | 55 | 15 | 17 | 8 | 3 | 2 | 0 | $44.7M |
| Target | 100 | 52 | 11 | 18 | 12 | 4 | 3 | 0 | $60.3M |
| Upside | 100 | 45 | 11 | 17 | 16 | 7 | 3 | 1 | $124.7M |
SPV co-invest: Fund exercises 2% on 5 companies directly. Remaining Series A rights are exercised via SPV (0% fee, 20% carry) or reserved for Fund II. Fund I LPs get priority on all SPVs. Returns above exclude SPV upside.
Single-vehicle option: Fund returns are independent of SPV participation. SPV co-invest is per-deal, opt-in, and exclusive to Fund I LPs.
MFN converts at ~$15M median pre-seed. FO at 2% of ~$100M avg Series A post-money. Dilution: pre-seed to seed ~15% (TNT observed), A ~18%, B ~15%, C ~12%, D ~10%, E ~6% (Carta 2025). Weights: 10% stress, 40% base, 40% target, 10% upside. Gross of fees and carry. Exit rates: ~1.5-2x MIT/Harvard outperformance. Typical exits diluted through C. Mega/decacorn exits include D/E dilution. Returns reflect midpoint FO selection (12-18 months insider observation).
The Vision
Fund I proves the model. The brand, pipeline, and track record compound over time. Fund I LPs get priority access to every future fund and SPV.
The Ask
TNT Fund I
Minimum LP commitment: $200K • Target close: Q3 2026
Confidential. For qualified investors only. Past performance does not guarantee future results.
Important Notices
No assurance can be given that the Fund's investment objective will be achieved or that investors will receive a return of any of their capital. In particular, the risks of investing in the Fund may include the following:
This is not intended to be a complete description of the risks of investing in the Fund. Investors should rely on their own examination of the potential risks and rewards. The Offering Documents will discuss these and other important risk factors and considerations that should be carefully evaluated before making an investment in the Fund.
Unlike a mutual fund, the Fund will not be registered as an investment company under the Investment Company Act of 1940, as amended (the "Investment Company Act"). Consequently, investors will not be afforded the protections of the Investment Company Act.
No person has been authorized in connection with this offering to give any information or to make any representations other than as contained in this Presentation and, if given or made, such information or representation must not be relied upon as having been authorized by the Fund, the Manager or the Manager's affiliates. Statements in this Presentation are made as of the date hereof unless stated otherwise herein, and neither the delivery of this Presentation at any time, nor any sale hereunder, shall under any circumstances create an implication that the information contained herein is correct as of any time subsequent to such date.
Certain information contained herein concerning economic trends and performance is based on or derived from information provided by independent third party sources. The Manager believes that such information is accurate and that the sources from which it has been obtained are reliable. The Manager cannot guarantee the accuracy of such information, however, and has not independently verified the assumptions on which such information is based. The Manager does not undertake to update this information, which is subject to change.
In considering the prior performance information contained herein, prospective investors should bear in mind that past performance is not a guarantee, projection or prediction and it is not necessarily indicative of future results. There can be no assurance that the Fund will achieve comparable results or that the Fund will be able to implement its investment strategy or achieve its investment objective.
Gross performance calculations do not reflect the deduction of management fees, carried interest and Fund expenses (including, without limitation, taxes, broken deal expenses, transaction costs, and other expenses of Fund I or portfolio companies), which substantially reduce returns to investors.
Unrealized values and other related financial information regarding certain investments are based on unaudited, preliminary estimates and valuations.
Certain statements contained in this document, including without limitation, statements containing the words "believes," "anticipates," "intends," "expects," and words of similar import constitute "forward looking statements." Additionally, any forecasts and estimates provided herein are forward looking statements. Such statements and other forward looking statements are based on available information and the views of the Manager as of the date hereof. Accordingly, such statements are inherently speculative as they are based on assumptions that may involve known and unknown risks and uncertainties. Actual results and events may differ materially from those in any forward looking statements. Further, any opinions expressed are the current opinions of the Manager only and may be subject to change, without notice. There is no undertaking to update any of the information in this document.
References to "$" or "dollars" are to United States dollars unless the context indicates otherwise.
Appendix 1
We follow top-tier investors at Series A. When firms like Sequoia, a16z, or Spark lead a round for one of our portfolio companies, the TNT Agreement gives us the contractual right to invest in 2% at the same terms. Our allocation is contractual, not discretionary. 33% of the fund ($10M) is reserved for these follow-on investments. We exercise on the best ~5 companies where we have the most conviction from 2 years of watching them build. Fund I LPs get priority on all future vehicles including SPVs.
The cohort model does the heavy lifting. Companies support each other. Our programming (mentors, Demo Day, build nights) scales across the cohort, not 1:1. We're building a community, not a consulting firm. The best accelerators (YC, Techstars) prove this model works at scale.
These two schools are the core of our community and where we have the deepest network. Concentration is the strategy -- owning this niche completely is more valuable than spreading thin across 20 schools. But we're not rigid about it. If an exceptional team comes through our network from outside MIT and Harvard, we'll back them. The school filter is how we source, not a ceiling on who we'll invest in. Expansion beyond these two campuses is a Fund II conversation once the brand is proven.
Our top referral channels are word of mouth from alumni and people who have attended our events. We continue running community events (firesides, hackathons, build nights) that generate top-of-funnel deal flow year-round. We track emerging teams as they participate in these events, and our campus fellows program across MIT and Harvard ensures on-the-ground presence every semester. The fund operates independently of any university affiliation.
Emerging managers consistently outperform established funds in pre-seed and seed. Smaller fund size means discipline. Proprietary access means better entry prices. And Fund I economics are the best LPs will ever get from this team.
Appendix 2
| Use | Amount | % |
|---|---|---|
| Pre-seed MFN (100 x $150K) | $15,000,000 | 50.0% |
| Series A follow-on reserve | $10,000,000 | 33.3% |
| Management fees + fund expenses | $4,400,000 | 14.7% |
| Operating reserve | $600,000 | 2.0% |
| Total | $30,000,000 | 100% |
Appendix 3
$150K MFN SAFE at pre-seed for early visibility. 2% at Series A via TNT Agreement for later-stage conviction. Our terms stack with every other investor.
Appendix 4
Ownership % drops through funding rounds, but stake value only goes up. Smaller slice of a much bigger pie.
| Stage | Round | Pre-Money | Dilution | Ownership | Stake Value |
|---|---|---|---|---|---|
| TNT MFN SAFE | $150K | -- | -- | SAFE | $150K |
| MFN converts at pre-seed | $2M | $15M | -- | 1.00% | $150K |
| Seed round | $3.5M | $25M | ~15% | 0.850% | ~$150K |
| Series A + 2% right | $20M | $80M | ~18% | 2.70% | $150K + ~$2M |
| Series B | $40M | $250M | ~15% | ~2.29% | ~$6.9M |
| Series C | $80M | $600M | ~12% | ~2.02% | ~$13.7M |
| $1B+ Exit | -- | $1B+ | -- | ~2.02% | $20.2M+ |
Ownership %
Stake Value
TNT invests via uncapped MFN SAFE ($150K). Converts at next priced round. 2% additional purchased at Series A terms via TNT Agreement. Dilution per round: pre-seed to seed ~15% (TNT observed), A ~18%, B ~15%, C ~12%, D ~10%, E ~6% (Carta 2025). Illustrative only.
Appendix 5
| Year 1 | Year 2 | Year 3 | Year 4 | Year 5 | Total | |
|---|---|---|---|---|---|---|
| Cohorts | 2 | 2 | 1 | -- | -- | 5 cohorts |
| Companies (pre-seed) | 40 | 40 | 20 | -- | -- | 100 |
| Pre-seed deployed | $6M | $6M | $3M | -- | -- | $15M |
| Series A follow-on | -- | $2M | $4M | $4M | -- | $10M |
| Fees + expenses | -- | -- | -- | -- | -- | ~$4.4M |
| Cumulative deployed | $6M | $12M | $19M | $25M | $28M | $30M |
2% on committed capital during investment period (yrs 1-3), lower rate on invested capital post-investment (yrs 4-10). ~$4.4M total fees over 10-year fund life. Capital calls match deployment.
Follow-on reserve funds the 2% Series A bets (~5 companies x ~$2M). Capital calls match deployment so LPs are not paying fees on idle capital. For Series A rounds that exceed per-company reserve allocation, Fund I LPs have priority access to co-invest via SPV.
20 companies per cohort. Actual sizes may vary depending on the quality and volume of applications. Our current cohort is 20 companies. We invest in quality over quantity. Series A check sizes vary with valuation. At higher valuations ($120M+ pre), overflow allocation is offered to Fund I LPs via SPV.
Appendix 6
| Fund size | $30M |
| MFN deployment | $15M into 100 companies ($150K each) |
| Follow-on reserve | $10M into ~5 companies (~$2M each) |
| Management fees | ~$4.4M (2% on committed, stepping down) |
| MFN conversion | ~$15M median seed valuation |
| Series A post-money | ~$100M average |
| MFN ownership at exit | ~0.52% (after seed, A, B, C dilution) |
| Follow-on ownership at exit | ~1.5% (after dilution) |
| Combined ownership at exit | ~2.02% |
| Deployment period | 2.5 years (5 cohorts) |
| Seed valuation median | $15M post-money (TNT portfolio observed) |
| Pre-seed to seed dilution | ~15% (TNT portfolio observed) |
| Series A dilution | ~18% (Carta 2025) |
| Series B dilution | ~15% (Carta 2025) |
| Series C dilution | ~12% (Carta 2025) |
| Unicorn rate | ~2% for MIT/Harvard (est. 1.5-2x industry base rate) |
| MIT/Harvard outperformance | ~1.5-2x industry base rates (est.) |
| Carry | 20% above 1x preferred return |
| Probability weights | 10/40/40/10 (S/B/T/U) |
Exit tier rates assume 1.5-2x outperformance over industry base rates, consistent with estimated MIT/Harvard outperformance (1.5-2x industry base rates) and the fund's 2-year insider screening advantage on follow-on investments. All returns on the main returns slide are shown gross of fees and carry.
Intimate conversations with world-class founders and operators. Past and upcoming speakers include CEOs of Formlabs, Liquid AI, Boston Dynamics, Delve, and more. These aren't panels. They're real conversations in small rooms.
We host hands-on building events where we see founders in action. This is where we spot technical talent and watch teams form in real time.
Current MIT and Harvard students serve on the TNT team. They're our eyes and ears on campus, connected to every lab, club, and dorm room where the next great company might be forming. This is structural, not networking.
We help technical founders find business co-founders and vice versa.
Applications are screened using TNT OS, our proprietary AI-powered evaluation platform. We score across four dimensions: Team, Thesis Fit, Idea Quality, and Execution Readiness. Final decisions are made by the GP after deep-dive interviews.
AI infrastructure, vertical AI for regulated industries, deep tech with real IP. We run every application through a defensibility filter: can a frontier model replicate this in 12 months? If yes, we pass. We want companies with proprietary data, domain expertise, or technical moats.
Teams get speakers, investor prep, investor intros, dedicated mentors, and build nights. Plus $600K+ in partner credits (Anthropic, Google Cloud, AWS, NVIDIA). The program builds toward Demo Day in front of 300+ attendees during Boston Tech Week.
We don't disappear. TNT alumni stay in the network. We continue making VC intros, helping with follow-on raises, and connecting teams with each other. The cohort is a lifetime network.
MIT and Harvard rank #2 and #3 globally for producing unicorn founders (behind only Stanford). Together they've produced the founders of HubSpot, Cloudflare, Dropbox, Akamai, Cursor, and dozens more billion-dollar companies. The density of technical talent, research labs, and entrepreneurial culture is unmatched on the East Coast.
Both campuses sit within a mile of each other in Cambridge, MA. This proximity creates a unique cross-pollination of ideas, co-founder matching, and shared resources that no other university pairing can replicate.
Others have tried to build around this ecosystem, but no one has combined community, accelerator, and fund into a single integrated model the way TNT has. YC and other accelerators draw from a global pool. TNT is purpose-built for this niche.
The picks-and-shovels layer. Companies building the tooling, data pipelines, and agent frameworks that every AI application depends on. These moats can come from years of deep research or from scrappy teams who move fast enough to own a critical layer before anyone else. Either way, the result is network effects and switching costs that grow over time.
Healthcare, defense, finance, government, manufacturing. Industries where domain expertise, compliance requirements, and data access create natural barriers to entry. A general-purpose AI can't walk into a hospital or onto a factory floor.
Quantum sensing, nuclear energy, novel materials. Companies where years of PhD research create defensible intellectual property. These are hard to start, hard to replicate, and exactly what MIT and Harvard labs produce.
$150K uncapped MFN SAFE. Converts at the next priced round. Plus the TNT Agreement: right to invest in 2% of the company at Series A terms (use it or lose it). Same deal for every company. We get early visibility. They get the best pre-seed deal available.
Our MFN converts at whatever terms the next investor sets. The 2% at Series A is at the same price the lead investor pays. Founders who do TNT + YC keep the MFN and the 2% right stacks on top. Our terms are designed to be compatible with every other investor. We invest early to build the relationship and get visibility into who's winning.
We invest via uncapped MFN SAFE with no valuation set. Our terms are compatible with every other investor. The program helps companies raise their next round. The TNT Agreement gives us the right to invest in 2% at Series A - our follow-on is contractual, not competitive. 100 companies means 100 call options. We exercise on the best 5 when a strong lead validates the company.
TNT Fellows are current MIT and Harvard students embedded across campus. They're in the labs, the dorms, the study groups where the next great company might be forming. This gives us structural visibility into founding teams months before they start fundraising.
Most VCs meet founders at the pitch stage. We meet them at the idea stage. Our fireside chats, hackathons, and build nights let us watch founders work before they ever apply. By the time they're ready to raise, we already know who they are.
We run events, connect founders, make intros, and provide resources long before we ever invest. This builds a reputation that no cold outreach or brand marketing can replicate. When founders are ready to raise, TNT is already on their shortlist.
Every founder who goes through TNT becomes part of a permanent network. Alumni refer new applicants, mentor current cohorts, and collaborate on projects. This creates a self-reinforcing cycle of trust that compounds over time.
nearly 200 applications for our Spring 2026 cohort with zero paid marketing. Every applicant found us through the community, a friend in a previous cohort, or an event they attended. This is the highest-quality deal flow you can get: warm, pre-filtered, and self-selecting.
Each cohort strengthens the brand. Alumni tell their friends. Fireside chat attendees become applicants. The more founders we help, the more founders want in. This is a compounding advantage that gets stronger every semester.
AI-powered evaluation that scores every application across multiple dimensions: team strength, thesis fit, idea quality, and execution readiness. This lets us process nearly 200 applications with consistency and speed while surfacing the strongest candidates for GP review.
Automated matching between cohort companies and our mentor network based on industry, stage, and specific needs. The right mentor at the right time can change a company's trajectory.
Real-time dashboards for fundraising progress, KPIs, and milestones across the entire portfolio. Gives LPs transparency and helps the team identify which companies need attention.
Solid generates production-ready, full-stack web applications using React, Node.js, TypeScript, and Postgres, outputting clean, readable code rather than throwaway prototypes. Unlike many AI code tools, Solid produces maintainable codebases that developers can extend, deploy anywhere, and hand off to engineering teams. Well-suited for agencies prototyping for clients and founders shipping MVPs fast.
Subconscious is building infrastructure for deploying and scaling AI agents, distinguished by its co-design of model and runtime. Rather than layering orchestration on top of third-party LLM APIs, the team built a custom inference engine that handles task decomposition, tool use, and long-horizon reasoning natively. The technology emerged from MIT research and addresses core agent failure modes like brittle multi-step workflows and context window limitations.
Diffraqtion develops quantum camera systems that use photon-counting sensors and proprietary AI algorithms to extract significantly more information from incoming light than standard sensors, enabling dramatically higher resolution and faster processing than conventional optical surveillance. DARPA awarded the company a Direct-to-Phase II SBIR contract, and they are working with the Space Force's Space Domain Awareness Lab. Plans to launch their first satellite (Galileo-1) in 2028.
Cortex acquires and transforms engineering R&D services firms by deploying AI-powered knowledge capture and workflow automation across their operations, targeting sectors like autonomous vehicles, aerospace, and semiconductors where engineers repeatedly recreate complex work manually. Founded at Harvard Business School, the thesis is that configurations and processes that historically took weeks can be reduced to minutes, making each project accelerate the next.
Apollo Atomics is developing compact nuclear reactor technology backed by 15 years of research at MIT, designed to be significantly smaller than traditional pressurized water reactors while targeting electricity costs as low as 3 cents/kWh through higher power density, passive safety, and reduced plant complexity. Founded in 2024 and headquartered in Cambridge, MA, the company is backed by Y Combinator.
Maywood automates the most labor-intensive parts of M&A deal execution, automatically generating CIMs, presentations, financial models, and diligence responses, with data updates propagating throughout the entire system from first document upload to close. Founded by former Blackstone and BCG professionals with MIT engineering backgrounds, the company targets middle-market and large investment banks running multiple sell-side processes per year.
Zaqa automates repetitive back-office tasks for medium-sized manufacturing and distribution businesses, processing purchase orders in seconds versus minutes in legacy ERP systems like SAP. Founded out of Harvard Business School, the company emphasizes seamless integration with existing software to avoid painful multi-year migrations. Backed by Flybridge, IM Ventures, and Meridian.
ZeroClaw Labs is building a premium, privacy-first AI agent platform that lets enterprises deploy autonomous agents entirely on their own infrastructure. Founded by a Harvard team, ZeroClaw sits at the intersection of two massive trends: enterprise AI adoption and data sovereignty requirements. As every company races to deploy AI agents, the ones in regulated industries and security-conscious environments need a solution where nothing leaves their walls. ZeroClaw is that solution.
Rob founded TNT at MIT Sloan and built it into the largest founder community across MIT and Harvard, entirely bootstrapped. Over 3 cohorts, TNT portfolio companies have collectively raised $25M+, with sponsors including JPMorgan, Anthropic, Google, NVIDIA, and AWS.
Before MIT, Rob was Director of Strategy & Innovation at Thinktiv, where he led AI strategy, product strategy, and GTM design for B2B SaaS and PE-backed companies. Prior to that, he was a consultant at Deloitte, specializing in financial modeling, systems design, and research for federal and financial services clients.
Rob holds an MBA from MIT Sloan (Class of 2026), an MA in International Business, and a BS in Finance from the University of Florida.
$600K+ in credits and growing across 25+ partners. We hustle to get our founders the tools, infrastructure, and services they need to build fast.
Custom-matched 2-3 per company based on sector, stage, and founder needs. Not a shared pool. Intentional pairing. Examples of current mentors:
Showing 9 of 100+ mentors. Full roster available on request.
Illustrative only. Dilution: pre-seed to seed ~15% (TNT observed), A ~18%, B ~15%, C ~12% (Carta 2025). SAFE converts at ~$15M pre-seed. Carry is 20% above 1x.