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artificial life whole cell project

Hacker News

artificial life whole cell project

[1] is a trailer for a project in artificial life. The goal is to create a living artificial cell, based on the chemlambda artificial chemistry. Everything in the trailer is a recording of a real computation, done with the programs from the chemlambda repository. Everything was run on a regular laptop, then screencasted and trimmed. The programs are available for playing at the chemlambda github repository [2] where you can also find more info about the research behind this project. [1] https://vimeo.com/138476341 [2] github.com/chorasimilarity/chemlambda-gui/blob/gh-pages/dynamic/README.md You think is too far fetched? Then compare with this real recording from Li et. al., “Extended Resolution Structured Illumination Imaging of Endocytic and Cytoskeletal Dynamics,” Science: [3] https://vimeo.com/136537187

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
58%58% 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
53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% 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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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