This profile has not been claimed and data may not be accurate.
75th percentile
MIT CS PhD founder and CEO building applied AI at Prompt Inversion
Credibility
Technical Depth · 88th percentile
- Top GitHub repo 'prompting-for-science' has 10 stars — below the 100-star threshold for the logarithmic bonus; awarding base GitHub presence points only (this row reflects the repo identification).
- Currently shipping public code with a most recent push 35 days ago to the repo 'prompting-for-science'.
- GitHub account @twakhare verified as Tanay Wakhare's personal account.
- GitHub account is over 5 years old, created in 2014.
- Identified as a Hugging Face author (@twakhare).
Relationship Matrix
Founder score
- 92%Probability of being accurate (92%)Current Co-Founder & CEO of Prompt Inversion, an applied AI lab.
- 90%Probability of being accurate (90%)GitHub account @twakhare verified as Tanay Wakhare's personal account.
- 90%Probability of being accurate (90%)GitHub account is over 5 years old, created in 2014.
- 88%Probability of being accurate (88%)Currently shipping public code with a most recent push 35 days ago to the repo 'prompting-for-science'.
- 80%Probability of being accurate (80%)Prompt Inversion was founded with an all-star founding team, confirming the presence of co-founders.
- 75%Probability of being accurate (75%)Identified researcher on OpenAlex with an h-index of 6 and 98 citations across 57 works.
- 70%Probability of being accurate (70%)Identified as a Hugging Face author (@twakhare).
- 30%Probability of being accurate (30%)Top GitHub repo 'prompting-for-science' has 10 stars — below the 100-star threshold for the logarithmic bonus.
What you likely need
You're a PhD-founder at a rare intersection of research credibility and live enterprise revenue, which means the highest-leverage Festival events for you are small rooms where AI-focused seed investors and deep-tech enterprise buyers are already pre-qualified. You also need to convert your MIT network into warm intros and build a public narrative that separates Prompt Inversion from both pure consulting shops and pure research labs. Events that put you in front of YC alumni, Conviction/Radical/AIX-tier investors, and fellow PhD-founders will compound fastest right now.
Would you attend these IRL Festival events?
We will tune and customize your Founder Festival experience to make sure you get invited to the events that would be most valuable to you.
- fundraisingA seed-stage founder dinner with partners and portfolio founders from Conviction, Radical Ventures, and AIX Ventures to pressure-test Prompt Inversion's $1–3M raise narrative and get warm intros into their deal pipelines
- fundraisingA YC alumni roundtable for PhD-founders who went through YC while still in their programs, to get candid advice on timing the application, structuring equity around academic IP, and which batch partners prioritize deep-tech applied AI
- introsA dinner co-hosted with MIT Engine and MIT delta v fellows to surface warm introductions to enterprise design partners and deep-tech-friendly angels who specifically back founders still completing PhDs at MIT
- positioningA closed roundtable with enterprise AI buyers and applied AI lab founders to workshop how to anonymize and publish client ROI case studies — specifically quantifying 'millions in cost savings' — as positioning assets against larger AI consultancies
- positioningA small workshop dinner for PhD-founders building applied AI companies to craft and pressure-test the 'research-to-deployment' public narrative that differentiates them from pure consulting shops and pure research labs, with founders who've successfully made that positioning stick
- tacticalA happy hour for ML researchers and open-source AI toolkit builders — think Hugging Face, EleutherAI, and academic ML community contributors — to get distribution feedback on a polished 'prompting-for-science' OSS release and identify the inbound enterprise lead channels it can unlock
- hiringA hiring-focused dinner with early sales engineers and account executives who've sold applied AI or ML infrastructure into enterprise accounts at sub-20-person deep-tech startups, to help Prompt Inversion make its first revenue-focused hire without pulling the founding team off research