ServerSearcher – Compare [Dedicated/"Cloud"] Servers

Hacker News

I built ServerSearcher ( https://serversearcher.com ) to make it easier to find cloud/virtual and bare-metal servers that match specific requirements like RAM, location, or CPU. The idea came from my own frustration trying to compare cloud servers across dozens of provider websites. There are a lot of server marketplaces and hosts, but I couldn’t find a single place to search across all of them with proper filters. So I made one. ServerSearcher indexes servers from a few providers but I have only just started and there are more providers being added at the moment. Next I'll be looking at adding GPU support as that was a second frustration. Happy to answer questions here or expand on anything technical - but would love any feedback positive or negative.

Visit product View on Hacker NewsMar 27, 2025

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: host · Missing: plus, platform, intuitive

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

50%50% 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

43%43% 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

13%13% 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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