Balloonist – Balloon inspection drawings and extract features (QC Tool)

Hacker News

In manufacturing, quality control teams will often need to 'balloon' or 'bubble' inspection drawings so that each feature on a part can be inspected. They then need to have these features and tolerances listed for first article inspection (FAI) reports and data collection. This involves using specialized QC software, which is often expensive, or using a PDF editor, which is time consuming and repetitive. Balloonist is an affordable alternative which helps streamline the process. My hope is that balloonist might be beneficial for smaller machine shops and jobs shops that need an alternative to using a PDF editor, but my not have the budget for or the need a full fledged QC suite. Feedback on the landing page and/or app is welcome and appreciated (you can get a free 7 day trial, no cc req'd, at https://app.balloonist.io )

Visit product View on Hacker NewsSep 10, 2024

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: mac, using · Missing: agents, macos, agent

39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

11%11% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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