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Telemetry – Predict when you'll reach your goals

Hacker News

Telemetry – Predict when you'll reach your goals

Hey HN! I've just released Telemetry, an open-source progress tracker that predicts when you'll reach your goals. Telemetry allows users to quantify almost any measurable goal and monitor progress. Whether it be personal fitness targets, financial objectives, or business performance indicators, Telemetry provides users the power to predict when they might achieve these goals through a tailored regression analysis that grows more accurate with each data point. Telemetry for Windows and MacOS is available for download now. It's completely free and open-source, with no ads or upsells. To learn more about its features, to access documentation, or to contribute to the project, visit the GitHub repository at https://github.com/RCKT-Software/telemetry . Please also drop a star on GitHub if you like the project, I'd appreciate it. Thanks! - Simon (Developer)

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Actual performance

7points
5comments
Made the leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, macos, user · Missing: agents, agent, cursor
76%76% predicted probability of success on Product Hunt, 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: just released, ide, io · Missing: https docs, excited, exist
64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal, users, fitness · Missing: mobile apps, ios, entrepreneurs
51%51% 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
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
11%11% 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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