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Free Tools (No Ads) – What Should I Build Next?

Hacker News

Free Tools (No Ads) – What Should I Build Next?

Hey HN, I launched FreeUtilityTools.com, a fast, no-login, ad-free collection of 200+ small tools to solve everyday problems. It's a personal project to make simple utilities more accessible — translated into 10+ languages, fast on mobile, and growing every week. Some examples: Text tools: remove duplicate lines, compare text, count characters Number tools: Roman numeral converter, binary converter, percentage calculator Time tools: age calculator, timestamp generator ... and a lot of random useful stuff I'm now trying to figure out what to build next. I'd love your ideas: What utility tool do you wish existed (or was faster/simpler)? What problems do you solve repeatedly that a tiny tool could help with? Any feedback on the site’s UX, performance, or growth approach? Thanks for checking it out — excited to hear what you think or what tools you’d love to see added.

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
74%74% 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.
Hacker NewsStrong engagement from HN community · Strong signals: excited, exist, ide · Missing: https docs, just released, lua
59%59% 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 · Missing: plus, platform, intuitive
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: personal · Missing: mobile apps, ios, entrepreneurs
32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: growth · Missing: arr, mrr, revenue
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: tiny · Missing: mac, agents, macos
6%6% predicted probability of success on Product Hunt, 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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