The fastest way to test business ideas and collect early users

Hacker News

Last year, I launched a Side Project (as an Indie Hacker) but didn't make any sales at all. I spent dollars without having even one customer. I made $0 (profit). From that pain, I learn something: It's always better to validate an idea before jumping into coding (I spent at least 3 months building a project that would ruin my entire year). Hence, I decided to keep building SaaS, but with a new approach: before working on the upcoming SaaS ideas, I wanted to have an easy-and-fast way of having a landing page that helps to collect early signups… Last week, I launched EarlyAccess.to help founders accelerate the process of validating Business ideas and collecting early users/customers.

Visit product View on Hacker NewsFeb 8, 2023

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

83%83% 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: user, new, coding · Missing: mac, agents, macos

66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

51%51% 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 · Strong signals: month, users, way · Missing: mobile apps, ios, personal

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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

Acquire.comPre-revenue stage for this audience · Strong signals: profit, saas · Missing: arr, mrr, revenue

22%22% 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.

Incorrect prediction on native model

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