I built ApplicationFeedback (https://applicationfeedback.com/) to give founders instant, AI-generated critiques on accelerator applications. Every year I watch teams iterate endlessly on wording, only to get boilerplate feedback weeks later. I wanted something faster and harsher, like a partner who has read 1000 successful applications so founders can iterate faster.
How it works 1. Paste your draft (no login required). 2. Pick a template (accelerator, pitch deck, grant, cold email). 3. An AI model scores each key sections and offers rewrite suggestions. 4. Copy or download the revised text.
Looking for feedback on What parts of the feedback feel useful, and where does it miss the mark? Latency/UX annoyances? Would you trust AI for something as important as an accelerator app?
Drafts are processed in-memory, never stored, and the service is fully GDPR compliant. I’ll be in the thread all day brutal honesty welcome!