StartupFlow AI
Find startup credits you actually qualify for.
What it does
StartupFlow AI finds the cloud credits, AI credits, and accelerator programs which your startup should qualify for. Just one profile and get a ranked shortlist with a clear, plain-English reason behind every match.
StartupFlow AI matches early-stage founders with cloud credits, AI credits, and accelerator programs they qualify for. One startup profile, a ranked shortlist, and a plain-English reason for every match.
Tell us about your startup once, and get a ranked shortlist of the credits, accelerators and investors you actually qualify for. “ A seed-stage AI workload already on GCP, under the $1M raised cap: a clean fit for the Start tier, which unlocks the full credit ceiling. ” Eligibility is re-read on a schedule, so a closed program does not sit in your shortlist. Browse everything we track . No spreadsheets, no eligibility-page rabbit holes. The platform does the reading so you can spend your time applying. Tell us your stage, country, stack, and what you need: cloud, AI credits, funding, or mentorship. Two minutes, once. We hard-filter the catalog on real eligibility, then AI ranks what is left…from startupflowai.com
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AI Grants & Credit Search by HackerNoonOct 2025 · ▲127Find the best active AI software & compute grants & credits
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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