Sackmesser – JSON/YAML mutation tool

Hacker News

Hey everyone, I've spent a lot of time in the past modifying JSON/yaml for helm charts and not only and I always wanted to have a tool that would do it for me. sackmesser is different from other tools like jq in a way that it's targeted exclusively to modify documents and also can consume as well as output both yaml/JSON. It's quite simple to add new formats if necessary as well as to add support for other operations. A nice part of the project is that a JSON object is a valid argument for operations like push, set, or merge, which makes it super easy to modify multiple parts of the project. If that's not enough, you can always supply multiple operations. I haven't focused on speed and overall polishness, this part still needs some attention. Hope you like it!

Visit product View on Hacker NewsApr 15, 2024

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

63%63% 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.

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

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: exclusive · Missing: plus, platform, intuitive

52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

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

43%43% 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

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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