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makwarth

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Agentic Feature Flags

reflag.com
3 points·by makwarth·10 months ago·0 comments

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

reflag.com
2 points·by makwarth·10 months ago·0 comments

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

bucket.co
8 points·by makwarth·2 years ago·1 comments

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

bucket.co
21 points·by makwarth·3 years ago·0 comments

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

techcrunch.com
2 points·by makwarth·3 years ago·1 comments

HTTPie AI

httpie.io
15 points·by makwarth·4 years ago·0 comments

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

2 points·by makwarth·4 years ago·10 comments

Show HN: Bucket – Simple Feature Analytics

bucket.so
8 points·by makwarth·5 years ago·2 comments

comments

makwarth
·3 years ago·discuss
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 years ago·discuss
Cheers!
makwarth
·4 years ago·discuss
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 years ago·discuss
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 years ago·discuss
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 years ago·discuss
How do you track that exactly? Any chance you can share a concrete example?
makwarth
·5 years ago·discuss
Hi, I’m the solo founder of Bucket. I’ve built this tool to easily measure the success of software features. Out of the box, Bucket will tell you how many users are engaging with your feature, and how often (daily, weekly, monthly). That’s it! It’s simple but enough to be actionable.

I’ve needed something like this in previous SaaS companies. For whatever reason, traditional product analytics platforms were never adopted outside of a small group of product managers. Bucket is analytics for the individual features.

I hope that software teams (engineers, designers, product, etc.) will consider using this. Sometimes we need to ship less new features and iterate on existing ones. Maybe even delete some features once in a while! :)

Feedback very welcome!