Together

Which AI accelerator is the best deal for founders?

TinySet prompt
Every accelerator for AI startups, with check size, equity taken and location
tinyfish-which-ai-accelerator-is-the-best-deal-for-founders.csv74 rows
Program URLProgram nameCheck size (USD)Equity taken (%)LocationAI-focusedApplication deadline
https://www.ycombinator.com/applyY Combinator5000007San Francisco, USAYes2026-11-02
https://www.techstars.com/accelerators/baltimore-ai-healthTechstars AI Health Baltimore2200005Baltimore, USAYes2026-11-18
https://www.techstars.com/accelerators/bostonTechstars Boston Accelerator2200005Boston, USAYes2026-11-18
https://stationf.co/news/fai-internationalF/ai at Station F00Paris, FranceYes
https://www.joinef.com/Entrepreneur First2500008London, UKYes
https://ignitenext.com/Ignite Next00Dresden, GermanyYes
https://campusfounders.de/startups/accelerator/CF Accelerator (Campus Founders, incl. former AI Founders)280000Heilbronn, GermanyYes
https://www.ai-nation.de/acceleratorAI NATION Accelerator110000Berlin & Munich, GermanyYes
Showing 8 of 74 rows

Then TinyResearch on the dataset:

TinyResearch prompt
Which accelerator is the best deal for an AI startup founder right now, and why?
tinyfish-which-ai-accelerator-is-the-best-deal-for-founders.pdf

For most AI startup founders in 2026, Y Combinator remains the best overall deal when network value, brand signal, dilution efficiency, and credit access are weighed together — but it is not the best deal for every founder. South Park Commons offers the most capital-efficient terms at scale ($1M total for 7%, plus up to $1M in credits). a16z Speedrun offers the largest combined check ($1M) and the richest credit stack (>$10M), but costs 10% upfront and acceptance is near-impossible at below 0.4% [13]. Neo is arguably the best deal on paper for very early-stage AI founders who can get in: $750K uncapped for up to 5% participation rights, plus $450K+ in compute credits, in a tiny cohort [23]. PearX stands out for check-size flexibility ($500K–$2M) and strong institutional follow-on outcomes (80% raise from institutional investors) [26]. For founders who cannot get into the elite programs, stacking non-dilutive credits — Google Cloud ($350K), Microsoft Founders Hub ($150K), and NVIDIA Inception (free) — can deliver $500K+ in runway-equivalent value at zero equity cost [44].

Related

Together

Which AI coding tool should you use in 2026?

107 rows · AI coding tools have undergone a structural transformation in 2026. Autocomplete plugins have given way to agentic platforms capable of reading entire codebases, planning multi-step tasks, opening pull requests, and running tests—often without human intervention per step. According to the Stack Overflow 2026 Developer Survey, 66% of developers now use coding assistants and agents as their primary AI use case, with 73% doing so daily [40].

Run this prompt
Together

Where is the AI data center buildout headed?

148 rows · The U.S. AI data center buildout is the largest private infrastructure program in American history, with roughly $10 trillion projected through 2032 [19] and hyperscalers spending an estimated $700–725 billion in 2026 capital expenditures alone [38]. The buildout is fundamentally restructuring the national geography of computing infrastructure: 77% of capacity now under construction is in frontier markets that had almost no data centers a decade ago [13][45]. Texas has emerged as the single largest pipeline by power—26 GW of existing and under-construction capacity [45]—while Virginia remains the world's largest single market by operating inventory [45]. Power availability has replaced fiber connectivity as the primary site selection criterion [38][15]; nearly every large project is either building its own behind-the-meter generation or signing direct, long-term power agreements to bypass overloaded interconnection queues.

Run this prompt