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flyjump

Fly Dino: original Chromium Dino controlled by a measured MaleCNS circuit and a genuinely trained neural readout. Live activity, browser training and reproducible benchmarks.

Details

External ID
1367154496
Source
GITHUB
Company
—
Product
flyjump
Website domain
cobanov.dev
Launched
Sept. 12, 2026
Cohort
—
Upvotes
11
Upvotes percentile
0.33858570330514987
Tags
chromium-dino, connectomics, neuroevolution, reinforcement-learning
Fetched at
Sept. 16, 2026, 5:02 p.m.
Updated at
Sept. 16, 2026, 5:02 p.m.

Enrichment

Theme
fruit fly connectome applications
Vertical
Media & entertainment
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
neural readout controller for chromium dino game
Manually corrected
False

Could you build this?

No Integrating a genuine biological MaleCNS connectome circuit model and training a biological neural readout to control the Chromium Dino game requires advanced computational neuroscience research and connectome simulation expertise.

What it would actually take: The architecture requires processing dense electron-microscopy connectome datasets (e.g., FlyWire / hemibrain), mapping sensory inputs from the game into fly visual neural pathways, and simulating biophysical or rate-based neural dynamics. The primary challenge is calibrating synaptic weights and training readout decoders from complex biological connectomics data to produce functional motor outputs in real time. This requires computational neuroscientists with experience in connectomics, neural network simulation frameworks (e.g., NEST or custom GPU spiking simulators), and reinforcement learning.

Competitors

Other products that read as similar to this one — 43 launches clear the similarity bar, closest 8 shown.

Attention rank: #37 of 44 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 258 days after the earliest competitor.

Other launches for this product

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