A Product Hunt alternative where products DON'T compete with each other

Hacker News

I am an indie hacker and have been launching my products on Product Hunt. Like many of you here, my experience with PH sucked: Lots of bots. Hard to compete. There's also been many new launch platforms coming up, but all of them make you compete for upvotes. Ugh. So I have been working on something different: https://saascurate.com/ It's a community-driven platform where indie hackers and SaaS founders help each other grow their products. The idea is simple - list your product, engage with other founders, gain exposure and social proof. No upvote system. It's hard and expensive to turn a side project into a viable business, especially for solo makers, so my longterm vision is to be able to help founders grow their products in lots of different ways, like helping with cold outreach, partnerships and other channels. I know there are a lot of "list your product and forget" platforms, so I am trying to build something different – where the community helps each other grow. Let me know what you think! I'd love to hear your thoughts and see if this platform can help you grow your products.

Visit product View on Hacker NewsJan 21, 2025

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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.

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

80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

40%40% 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: way · Missing: mobile apps, ios, personal

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

16%16% 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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