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SmartForms – Form back end as a service
Hacker NewsSmartForms – Form back end as a service
Hi guys, my name is Giancarllo and I'm launching a pretty simple service: form backend that notifies you on Email, Telegram or Slack. http://smartforms.dev It's not intended to make tons of money, I made it for my use and I've been using it on some clients websites. It has a pretty generous free-tier and the paid tiers have really fair pricing. This is my first time launching a product, so any feedback is really appreciated! Thanks, guys.
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Launch Intel predictions
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Product HuntOn track for Day 1 leaderboard · Strong signals: slack, email, using · Missing: mac, agents, macos78%78% 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, podcasting55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: paid, smart · Missing: web3, chat, crypto2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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