Co

Contact Form Delivery

Hacker News

Contact Form Delivery

Most sites I work on have at least one contact form and I got tired of building out the logic to send them and handle the spam into every project. I built and launched Sendfly for myself 5 years ago and it's been a rock solid service that I've relied on ever since. Recently I've done a full re-write, simplifying the product and making it super affordable. I wanted to share it here in case it comes in handy for someone else. There are lots of competitors out there but I found them too expensive for my needs. For $15/year you get unlimited forms and 5,000 form submissions every year. Hoping that fits the bill for developers like me!

Visit product View on Hacker NewsOct 22, 2022

Actual performance

118points

81comments

Made the leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

84%84% 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.

Hacker NewsStrong engagement from HN community · Strong signals: 000, io · Missing: https docs, excited, just released

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

38%38% 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, 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 · 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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