Reflect – Track Anything

Hacker News

Reflect is an iOS app that allows you to track any data you can think of, and then gain insights from that data -- whether it's your mood, symptoms, activities, events, performance, supplements, habits, or weight. We have a page describing the following features in more detail [1] Major Features: • Free unlimited custom tracking: Unlike other apps, recording your data with Reflect is completely free; you can track as much as you'd like and you are only limited by your imagination. • Visualization: See trends in your data and identify relationships between metrics. • Correlations: Learn which metrics correspond most highly with anything you track. Answer questions like "am I more productive on days I wake up earlier?" or "how does spending time outside affect my ability to concentrate?". • Get started immediately: There is no "signing up" step; just specify what your data looks like and begin recording. • Extreme privacy: All data storage and analysis are performed locally on your device. • Extreme flexibility: Reflect lets you construct forms that are specifically tailored to your needs. There are no limitations such as tracking only once per day, or having only a few things to choose from. • Free importing: Migrate to Reflect and import your CSV data with ease with Reflect's template builder, enabling you to reap the benefits of Reflect's visualizations and insights immediately. • Free exporting: There is no lock-in with Reflect. You are free to leave at any time; we want the qualities of the app to speak for themselves and serve the parts of you that want quality and control. [1] - https://ntl.ai/reflect

Visit product View on Hacker NewsJan 30, 2024

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6points

Did not reach leaderboard

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

86%86% 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.

TrustMRRFits verified-revenue profile · Strong signals: ios, apps · Missing: mobile apps, personal, entrepreneurs

66%66% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

56%56% 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

49%49% 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: builder · Missing: plus, platform, intuitive

31%31% 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

15%15% 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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