Aidlab – track time you spent in your favorite places

Hacker News

Hey HN! We’re a team of engineers and product people who also happen to be lifelogging junkies. We started Aidlab with the goal of making an app for tracking all-day activity accessible anywhere/anytime, and building the greatest on-demand experience without the need for expensive equipment. With just the GPS and accelerometer on your phone, it: - Recognizes places and records your data to illustrate an accurate portrait of your activity. - Visualize your day in an easy-to-read timeline. - Create daily, weekly, monthly and yearly summary. - "Smart Notifications" feature will keep you aware and motivated. - No external/physical trackers required. Link: https://apps.apple.com/pl/app/aidlab/id1123339447 Disclaimer: all location/activity data are stored locally only (but everything is exportable). Account is not required. If you have any questions let me know, and we’d love to hear your feedback! Jacob.

Visit product View on Hacker NewsSep 30, 2020

Share card

Actual performance

2points

1comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

85%85% 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.

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

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

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

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

47%47% 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

33%33% 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

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: smart · 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

Similar products

Notifier – Keep track of your favorite dependencies38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Notifier – Keep track of your favorite dependencies

Hacker News5

Breadcrumbs - see what's happening at your favorite places46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Breadcrumbs - see what's happening at your favorite places

Hacker News1

Bimble – All Your Favourite Places26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bimble – All Your Favourite Places

Hacker News2

Showing places with kebab cuisine in Austria, Germany and switzerland25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Showing places with kebab cuisine in Austria, Germany and switzerland

Hacker News5

tldr.place70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Share your favorite places with friends

Product Hunt+102iOS

OliveLog - keep track of your time34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

OliveLog - keep track of your time

Hacker News1

Track your time between deployments38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Track your time between deployments

Hacker News3

Pacely60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Track time and earnings

Indie Hackers2productivity

Pulps17%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your best places

Indie Hackers1community

Website to find places to volunteer virtually44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Website to find places to volunteer virtually

Hacker News1

Browse all products Analyze your launch