I built a fair alternative to Product Hunt for indie makers

Hacker News

I’m an indie maker, just like many of you. A few months back, I launched a product on one of the big platforms, and... nothing. It got buried under dozens of other launches within hours. All that work, all that excitement is gone in the blink of an eye. No one even saw it. It stung. I wasn’t mad, well, maybe a little but mostly, I just felt invisible. The truth is, indie makers like me don’t have big teams or budgets to fight for visibility. We rely on genuine support and connections. I couldn’t stop thinking about how many great ideas never get the attention they deserve because they’re overshadowed. So, I decided to build something different: https://itslaunched.com Here’s the idea: • 10 launches per day, max. Limiting the number of daily launches ensures that every product gets its moment in the spotlight. • 2 votes per user, per day. This isn’t a popularity contest. You only get two votes, so people have to really think about which products they want to support. It’s quality over quantity. • “Under Radar” feature. This one’s my favorite. If a product doesn’t get much love on its launch day, it gets a second chance to shine the next day. Because timing shouldn’t be the only thing standing between you and success. There’s more like badges, comments, streaks but the heart of it is simple: a fair shot for indie makers. I built this because I believe every product deserves to be seen, especially the ones built by solo makers and small teams putting their heart into something they truly care about. And I didn’t build this to compete with Product Hunt. I built it to give indie makers the platform they deserve, one where their creativity truly gets noticed. If this sounds like something you’d want to check out, I’d love your thoughts. I’m still tweaking and improving it every day based on feedback. Let me know what you think and if you’ve got a product you’re proud of, I’d love to see it shine.

Visit product View on Hacker NewsJan 15, 2025

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

92%92% 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 · Missing: mac, agents, macos

90%90% 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, io · Missing: https docs, excited, just released

58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% 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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