FormBeam

FormBeam

TrustMRR

FormBeam is the Smart Form Engine that makes form submissions actually useful. The hard part isn’t hooking up the form — it’s making each submission meaningful right away. Most tools just dump data in

FormBeam is the Smart Form Engine that makes form submissions actually useful. The hard part isn’t hooking up the form — it’s making each submission meaningful right away. Most tools just dump data into an inbox or spreadsheet. One line of code gives you full front-end control, instant configurable auto-replies, automatic spam filtering, and a clean searchable dashboard. Built for long-term forms on your own site. No more inbox chaos. Start free with 100 submissions/month.

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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating8

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: inbox, code · Missing: mac, agents, macos
59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month, way · Missing: mobile apps, ios, personal
25%25% predicted probability of success on TrustMRR, 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
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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