Yamaha TDM 850 3vd 1993 Atlas (made with Astra)

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I recently bought 1993 TDM 850 and I love it, but its an old bike and it needed some TLC, I bought the haynes manual and the found the partlist and used Astra to create an interactive atlas. I am working on the front forks now to change the bushings and seals, and I dont think I would've been able to do it without the interactive visualization, the partlist was not detailed enough and the manual was too prescriptive. It gaslit me few times, so I had to use some common sense (like this spring can not be pushing this piece, stop trying to convince me it does), but over all it was a major help. If you have an old machine, car, tractor, commodore64 etc, that is well documented, using Astra you can make amazing interface to see into it. It feels like early stages of the tooling Tony Stark had while creating Badassium :) I cant wait for AR and models baked into hardware at 10 watts and 15000 tokens per second.

Visit product View on Hacker NewsSep 9, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, model, models · Missing: agents, macos, agent

75%75% 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 · Missing: supports, reddit linkedin, podcasting

72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: 000, io · Missing: https docs, excited, just released

63%63% 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

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive

33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

12%12% 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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