An

Analog Project Board

Hacker News

Analog Project Board

https://cults3d.com/en/3d-model/tool/analog-project-board I don't see a lot of 3d models posted here, but I thought I'd share as it's related to IT / programming. Model description explains it, but basically, inspired by air track control boards (excuse me if i'm wrong here) where they manage flights and their details. Wanted a board I could glance at and see project specifics we're working on. Board holds 5 slats. Design the paper inserts for the slats how ever you'd like; jira #, trello #, whatever. Print the slats in whatever color works for you - red = critical, yellow is falling behind, white is going well, etc...

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3points
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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: model, models, plain · Missing: mac, agents, macos
55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
40%40% 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
14%14% 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.

Incorrect prediction on native model

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