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makwarth

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投稿

Agentic Feature Flags

reflag.com
3 ポイント·投稿者 makwarth·10 か月前·0 コメント

Show HN: Reflag – Feature flags with auto-cleanup (LLM)

reflag.com
2 ポイント·投稿者 makwarth·10 か月前·0 コメント

Show HN: Bucket – Feature flagging that's purpose-built for B2B

bucket.co
8 ポイント·投稿者 makwarth·2 年前·1 コメント

Show HN: Bucket – From feature launch to customer satisfaction, consistently

bucket.co
21 ポイント·投稿者 makwarth·3 年前·0 コメント

Artifact news app now uses AI to rewrite headline of a clickbait article

techcrunch.com
2 ポイント·投稿者 makwarth·3 年前·1 コメント

HTTPie AI

httpie.io
15 ポイント·投稿者 makwarth·4 年前·0 コメント

Ask HN: How to you track if newly released features have expected engagement?

2 ポイント·投稿者 makwarth·4 年前·10 コメント

コメント

makwarth
·3 年前·議論
Bucket | https://bucket.co | Europe/US East | Engineering

Ever shipped a feature and didn’t know, if the customers loved it?

Validate features in weeks with Bucket.

Job description: https://bucket.co/jobs/senior-full-stack-typescript-engineer
makwarth
·4 年前·議論
Cheers!
makwarth
·4 年前·議論
Got it, makes sense. Appreciate the concrete example! As for the event tracking data, do you use a tracking plan, like Segment Protocols?
makwarth
·4 年前·議論
True ;) Sometimes, though, a new feature isn't getting engagement because people are busy. Product and Product marketing can use low engagement metrics to raise awareness.
makwarth
·4 年前·議論
Good point! Talking to some of the users of the feature you're about to remove is probably a good first step. Do those users use the feature in a way that's aligned with your product strategy?
makwarth
·4 年前·議論
How do you track that exactly? Any chance you can share a concrete example?