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Manage forms as code – dead simple syntax, AI-friendly

Hacker News

Manage forms as code – dead simple syntax, AI-friendly

I've built a tool that lets you define, manage, and deploy forms in a declarative way - just like infrastructure-as-code, but for forms. Why? Forms are still one of the most painful things to manage - especially if you care about accessibility, validation, integrations, and spam filtering. What’s special about it: - AI-friendly – the .fd syntax is easy for LLMs and humans alike - Code-native – store forms in Git, track changes, review in PRs - One-liner deploys – use fd cli to manage deployments from your cd - First-class features – validation rules, notifications, spam filtering, webhooks, and more Would love your thoughts, feedback, and ideas.

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: code · Missing: mac, agents, macos
92%92% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: friendly · Missing: plus, platform, intuitive
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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