Never Launch Without a Waitlist

Hacker News

Hey! I've recently launched Waitlister, an app for creating product launch waitlist in minutes (or seconds if you wish to). Why you should build a waitlist before you launch your product? Because, - it'll help you validate your idea before spending too much time on building, - get first users that will potentially convert/sign up as soon as you launch, - and you can generate more buzz for your launch than you could without one. How does Waitlister help you with this? With it, you can: - create a hosted landing page, - create an embeddable waitlist form, - send automatic welcome emails, - send email broadcasts to keep subscribers engaged/updated, - incentivize virality with referrals, - and more... Hope you'll find it useful.

Visit product View on Hacker NewsOct 19, 2024

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Actual performance

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, email · Missing: mac, agents, macos

64%64% 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

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

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

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released

31%31% 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 · Strong signals: subscribers · Missing: arr, mrr, revenue

27%27% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host, soon, users · Missing: plus, platform, intuitive

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

2%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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