makwarth
Show HN: Reflag – Feature flags with auto-cleanup (LLM)
Co-founder here Reflag is designed for SaaS products that run on TypeScript. We've been working on this for a few years (team of 6). Feedback welcome!
Show HN: Bucket – Feature flagging that's purpose-built for B2B
Howdy HN!We're a team of 7 that have worked on Bucket for the past 2 years (Seed funded).How are we different than other feature flagging tools?* Purpose-built: Bucket is built for the B2B use case, which makes everything simpler for you.* Companies over users: In B2B, you mostly target customer accounts, not individual users.* Quality and craft: We're sweating the details so you can focus on...
Show HN: Bucket – From feature launch to customer satisfaction, consistently
Hi HN!We have put A LOT of effort and soul into crafting this product. It’s something we’ve wanted to have ourselves for so long. We hope you like it!Many tech companies end up as feature factories. Bucket is here to help product teams consistently evaluate features, so they can double down on the features that matter - and cut their losses on the ones that never hit home.We do this based on...
Artifact news app now uses AI to rewrite headline of a clickbait article
Re:Ask HN: Who is hiring? (February 2023)
on Thursday February 02, 2023 @01:50AM (#34623070)
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
HTTPie AI
Re:Ask HN: How to you track if newly released features have expected e...
on Friday November 04, 2022 @10:00AM (#33466798)
Cheers!
Re:Ask HN: How to you track if newly released features have expected e...
on Friday November 04, 2022 @09:10AM (#33466021)
Got it, makes sense. Appreciate the concrete example! As for the event tracking data, do you use a tracking plan, like Segment Protocols?
Re:Ask HN: How to you track if newly released features have expected e...
on Friday November 04, 2022 @09:07AM (#33465975)
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.
Re:Ask HN: How to you track if newly released features have expected e...
on Friday November 04, 2022 @09:01AM (#33465888)
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?
Re:Ask HN: How to you track if newly released features have expected e...
on Friday November 04, 2022 @08:59AM (#33465836)
How do you track that exactly? Any chance you can share a concrete example?
Ask HN: How to you track if newly released features have expected engagement?
When launching new features, how do you track them and how do you measure their "success"?Do you use a tracking plan, like Segment Protocols? How do you determine when the feature is done (doesn't need more iteration)?Disclaimer: I'm the founder of a startup that is focused on feature analytics. It's still early days for us, so here to learn about the existing pains in this space.
Re:Show HN: Bucket – Simple Feature Analytics
on Wednesday March 10, 2021 @08:59AM (#26411250)
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!
Show HN: Bucket – Simple Feature Analytics
Re:A DIY M&Ms and Skittles sorting machine
on Sunday February 05, 2017 @04:24PM (#13574727)
Very cool - thanks for sharing!
The open-office trend is destroying the workplace (2014)
Staying sane with Slack
Re:Show HN: A travel tool to discover destinations based on your budget
on Sunday January 22, 2017 @08:49PM (#13459051)
Nice work!
Whatup
Bots won't replace apps. Better apps will replace apps
Michael Burry (from the Big Short) thinks another financial crisis is looming
Re:Engineering offices
on Friday February 26, 2016 @07:28PM (#11185399)
;-)
Re:Engineering offices
on Friday February 26, 2016 @04:43PM (#11184497)
Fully agree regarding "collaboration". The "money" argument is what I'm arguing against in the post. You can pack more engineers in an open office, but if the software output is low, you're not saving money - you're carelessly wasting resources.
Engineering offices
In-depth performance metrics for Django
Re:Introducing Annotated Stacktraces
on Wednesday October 08, 2014 @11:06AM (#8427251)
Hey, I'm the co-founder of Opbeat. Thanks for sharing! Would love feedback on our release.