This product was not featured by Product Hunt yet.
It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).

Product Thumbnail

UseFlagly

Feature toggles & kill-switches with CNCF OpenFeature

SaaS
Software Engineering
Developer Tools
Visit WebsiteSee on Product Hunt

Hunted byThiago MachadoThiago Machado

Ship code safely and decouple deploys from releases. UseFlagly gives you sub-millisecond feature flag evaluations with L1/L2 Redis caching, instant kill-switches, canary rollouts, and native CNCF OpenFeature support. Free tier with 25k reqs/mo.

Top comment

Hey Product Hunt! 👋

I’m Thiago, creator of UseFlagly. Super excited (and a little nervous!) to launch today.

### The Story Behind It

Every development team eventually learns this lesson the hard way: releasing code directly to 100% of your users without a safety net is a ticking time bomb.

When looking for feature flag solutions, we faced the classic dilemma:

1. Enterprise giants (like LaunchDarkly) that cost thousands of dollars per month and require a PhD in DevOps to set up.

2. In-house database `is_enabled` boolean columns that eventually become unmaintainable spaghetti code.

We built UseFlagly to be the missing sweet spot: an intuitive, developer-friendly, and blazing-fast feature flag management platform that doesn't break the bank.

### What makes UseFlagly different?

- 🛑 Instant Kill Switches: Turn off buggy features in milliseconds without redeploying your app or running emergency hotfixes.

- 📈 Gradual Percentage Rollouts: Ship to 5% of users, check telemetry, scale to 25%, and ramp up with confidence.

- 🎯 Targeting & Custom Segmentation: Target by environment (Dev, Staging, Prod), user attributes, beta testers, or custom rules.

- ⚡ Zero-Latency Design: Lightweight SDKs with ultra-fast cached evaluations so your application never slows down.

- 👥 Clean Collaboration: Built-in governance, environments isolation, and audit logs for growing teams.

### 🎁 Product Hunt Special

To celebrate our launch with the PH community:

👉 Use code PRODUCTHUNT at checkout for 40% OFF any paid plan for your first year (or start completely free with our generous starter tier)!

🔗 Try it out: https://www.useflagly.com.br

---

I’d love to hear your thoughts:

- How does your team currently manage feature releases and rollouts?

- Which SDK / language integration would you like us to prioritize next?

I'll be hanging around here all day to chat, answer questions, and take notes on your feedback. Thank you for the support! 🚀

Comment highlights

No comment highlights available yet. Please check back later!

About UseFlagly on Product Hunt

Feature toggles & kill-switches with CNCF OpenFeature

UseFlagly was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #138 on the daily leaderboard. Ship code safely and decouple deploys from releases. UseFlagly gives you sub-millisecond feature flag evaluations with L1/L2 Redis caching, instant kill-switches, canary rollouts, and native CNCF OpenFeature support. Free tier with 25k reqs/mo.

UseFlagly was featured in SaaS (44.3k followers), Software Engineering (43.1k followers) and Developer Tools (519.8k followers) on Product Hunt. Together, these topics include over 149k products, making this a competitive space to launch in.

Who hunted UseFlagly?

UseFlagly was hunted by Thiago Machado. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Want to see how UseFlagly stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.