Ne

Network Of Time – visualize connections between notable people

Hacker News

Network Of Time – visualize connections between notable people

My hobby is collecting rare and obscure photos of historical and notable people together then adding them to my website where you can see how any two people can be connected through appearances captured in photos. With this website I aim to make the close proximity of all living and recently alive people a fact you can visually process. Basically a “Oracle Of Bacon”/”Six Degrees Of Separation” visualizer. Some interesting examples: – James Joyce to Muhammad Ali in 3 photos – Napoleon III to Ja Rule in 5 photos – Grigori Rasputin to Lizzo in 6 photos – Nikola Tesla to Elon Musk in 6 photos – Charles Dickens to Frank Sinatra in 6 photos I plan to add a user registration and submission system so you could add yourself with photos of anyone you have already on the network. Any feedback is much appreciated!

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Actual performance

3points
3comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, visual · Missing: mac, agents, macos
65%65% 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: para · Missing: supports, reddit linkedin, podcasting
62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: visualize, para · Missing: mobile apps, ios, personal
51%51% 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
40%40% 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
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
16%16% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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