Ti

Time Passes – a timeline of your life, human history, and the universe

Hacker News

Time Passes – a timeline of your life, human history, and the universe

Hi HN. This is a tool I created to scratch my own itch. There’s been a few timeline projects posted to ShowHN over the years but none that did what I wanted, which is to show both my own life and family events, and world history, and it have it scale from seconds to all of time. This is very much a prototype, but it works. It works best on devices with a trackpad or keyboard: scroll to pan & zoom doesn’t work on touch-screen devices. Although I build it mainly for myself, a couple of people I’ve mentioned it to thought it was a good idea, so I’m hoping it’s useful to others as well. There’s still a lot of missing functionality, but I keep procrastinating on showing anyone or releasing it. It’s also rather thin on historical events at the moment. So far I’ve just added interesting events as I’ve thought or learnt about them them. I’m not sure whether to bulk import historical event data from somewhere or to keep adding events manually. You need to create an (free) account to save data, but anyone can try it out. Or use username/password: demo/hackernews if you don’t want to create a new account. Feedback appreciated!

Share card

Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user, new · Missing: mac, agents, macos
84%84% 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: created · Missing: supports, reddit linkedin, podcasting
79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, 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
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
20%20% 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
18%18% 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

Similar products

Universe App
Universe App18%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Instructions for life

Indie Hackers
Th
The Timeline of Everything – see the history of any topic58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Timeline of Everything – see the history of any topic

Hacker News5
De
Dear universe46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dear universe

Hacker News2
PFP Universe
PFP Universe46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PFP Universe

Indie Hackerscommitment-full-time
PFP Universe
PFP Universe12%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

pfpuniverse

Indie Hackers
PFPUniverse
PFPUniverse49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PFP Universe

Indie Hackersemployees-10-plus
Merakian
Merakian26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Human Side of Life!

Indie Hackerscommitment-side-project
Ze
Zeitline – A Polylinear Timeline with Clustering45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Zeitline – A Polylinear Timeline with Clustering

Hacker News4
I
I made a Covid-19 Timeline43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a Covid-19 Timeline

Hacker News2
Ti
Timeline of a HN Submission34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Timeline of a HN Submission

Hacker News5