... become the trend in AI model launches, GPT-5 is no single monolith. OpenAI offers five distinct engines for users and developers, so you pay only for the power and latency you need: GPT-5 The flagship, unified system that automatically routes simple prompts down a fast path and heftier queries into its deep-thinking core. Priced at $1.25 per 1 M input tokens and $10 per 1 M output tokens. GPT-5 Thinking Invoke by typing think hard ... ... Team subscribers. Extends context windows up to 128 K tokens for marathon codebases, legal analyses, or in-depth research. Same base rate plus surcharges for extra context . GPT-5 mini A budget-friendly workhorse delivering roughly 80 percent of flagship

... from founders and marketers who have already walked this What I am curious about: Which tracking/attribution hurdles surprised you once real traffic showed up? What signs told you an affiliate partnership was working or quietly draining resources? Any red flags when evaluating platforms? For anyone who shut a program down, what pushed you to pull the plug? I would like to avoid build-it-and-they-won t-come syndrome and budget realistically for both partner recruitment and ongoing support ... ... were lost due to coupon sites or bundled deal links. We had to move to multi-touch tracking. Support was the hidden cost. Affiliates needed frequent updates, promo kits, and hand-holding almost like onboarding a new hire. Red flag

... serious privacy concerns, while still being easy to bypass. Our MVP Proposal: We're building a real-time, privacy-conscious anti-cheating system focused on: Live screen stream monitoring (1 2 FPS sampling for efficiency) Real-time keystroke analysis (flagging ctrl+c, ctrl+v, AI keywords like "ChatGPT", etc.) Tamper detection (VM detection, sandbox evasion, plugin/modification flags

... building SmartDial for outbound sales teams and shipping fast. Right now using Firebase, and it s getting tricky balancing speed with stability. Curious how do you manage staging vs prod environments when you re still validating and iterating weekly? Do you set both up properly from day one, or fake it until things stabilize? Comment from Joel Andriyas - AI First Developer(@new_user___1542025a3013bd22f1e340b): Just wondering, why would you fake anything? Comment from Abdellah Rolam(@rolambuilds): @new_user___1542025a3013bd22f1e340b ... ... Good point and to clarify, it s not really faking. It s more about being scrappy early on. We used the same environment with guardrails (like feature flags

... value prop clarity, or conversion funnels. No bloated bundles. Just pay for what you need. This keeps Probado lean and startup-friendly from day one. AI support: After testers submit their feedback, Probado s AI: Summarizes trends and patterns Flags common friction points Suggests improvements based on best practices Benchmarks your product against industry peers You re not just getting a summary you re getting a playbook. Progress so far: 40+ vetted testers onboarded Manual test system live and running ... ... things I d love your take on: What s one lesson you wish you knew before launching your first MVP? What part of your product do you think is hardest to test properly? How do you balance shipping fast vs

... contract text LLM-based initial risk scan Retrieve similar Bad Cases from our case bank Deep-dive analysis & structured report generation I ve just run a demo on 3 sample contracts and 5 Bad Cases it flags key issues and spits out actionable rewrite suggestions. Along the way, I wrestled with prompt length limits, list-vs

... What are your lessons and learnings about hiring some of your earliest engineers? What traits, what red flags, do's and don'ts, any best places to search? Comment from Dan Bulteel(@dbul): @laura_cornely Trial period is a great shout, protects both you and them. Thank you! Comment from Bhavesh Deshmukh(@bhavesh_deshmukh): Great question, Dan hiring your first few engineers is a big deal and honestly, pretty tough if you re not technical yourself (been there). Here ... ... Your early engineers should be excited to figure things out, not just follow instructions. You want people who enjoy solving problems, even outside their job description not just writing code, but helping shape the product and business. 2. Green flags

... people! I'm working on an idea called DecypherAI, it s a tool that helps startup founders and PMs monitor what people are saying about their own product, competitors, or their industry as a whole across various online communities and forums (Reddit, X, Product Hunt itself, and more). I started thinking about this after noticing a common problem - It's hard to keep up with user feedback and raw sentiment scattered across internet. Most of it would never make ... ... landing page to test the concept - https://www.decypherai.com I'd love your honest thoughts, would this be actually useful to you or your team? Or what kind of insights or features would you expect from it? Any red flags

... asked: How do you track and improve your brand s visibility inside these AI black boxes? What MentionedBy AI does: Tracks how often and how positively your brand is mentioned across top AI models Compares you with competitors on visibility, sentiment, and hallucination risk Flags

... Bucket , we're on a mission to help you ship the right features faster with feature flags. Below is a recap of what we recently shipped. # What Bucket shipped in April 2025 ## MCP server We introduced the Bucket MCP server : flag

... That's a lot of feature flags ! Congrats to the team. Comment from Vijaye Raji(@vijaye): @catt_marroll  we have a lot of work to do on brand awareness. Comment from steve beyatte(@steveb): @catt_marroll  Same. How does @Statsig compare to @Bucket ? Comment from Matt Carroll(@catt_marroll): @vijaye  consider me one of todays 10,000 :) the fact that you have such compelling customers makes it hard to believe you haven't been ruthlessly focused ... ... iterating and building for your customers. if you build it they will come! Comment from Matt Carroll(@catt_marroll): Honestly I had never heard of statsig, but their social proof is very compelling. i guess a competitor

... Meow Product Hunt! At Bucket, we're on a mission to make feature flags as frictionless as possible. Last month, we launched Bucket CLI to create feature flags

... Meow there! Last week was launch week at Bucket , wrapping up a month of shipping features to make feature flagging a fast, joyful experience for SaaS developers. Here's a recap of what we recently shipped. # What Bucket shipped in March 2025 CLI & Type Safety Toolbar Event log GitHub app Revamped docs ## CLI & Type Safety Create new features from the command line and maintain type safety while building. When creating a new feature, the CLI updates your local ... ... when building locally. ## Event log See all event data sent to Bucket, filter them by type, and get detailed context for quick debugging. ## GitHub app We now integrate with GitHub to automatically clean up your feature flags

... February 2024. We're still #7 Product of the Day. # 10:07:AM:PST new milestone: 200 upvotes We're currently #7 Product of the Day and just reached 200 upvotes. 31 more upvotes to go and surpass Flags that we launched in November 2024. # 08:56:PM:PST new milestone: 231 upvotes We just surpassed Flags

... What tool like @LaunchDarkly or @Bucket do you use for feature flagging/rollout? Feature management (also known as feature flag

... Bucket , we're on a mission to help you build better products with feature flags. Last year, we shipped 38 product updates, and we're kicking 2025 off to a great start. # What Bucket shipped in January 2025 Below is a recap of what we shipped this month: OpenFeature Tracking API support for Bucket SDKs Toggle feature access per company Improved Feature tabs ## Bucket SDKs now support the OpenFeature Tracking API We shipped an updated version of Bucket SDKs ... ... each new tab. # Wrapping up That's a wrap! Over to you, what should we build/improve/fix in 2025? Let us know! Ping @bucketdotco on X and follow us for the latest product releases. We're crafting the feature flagging

... there'd be a lot of reliance on CI/CD tools and test coverage and team communication. Can distributed teams really move faster like this? Comment from fmerian(@fmerian): @lagap fully agree! ooc what tool do you use for feature flagging at Product Hunt ? Comment from Odin Urdland(@odinu): At Tana we follow Chromium's development model. It is closer to trunk-based development, but has some other nice characteristics. When we decide to do a release we choose a merge ... ... think I can see how there needs to be more team communication with TBD? Comment from Vishal (@vishal_rayarao): Great topic, Flo! Trunk-Based Development (TBD) is great for fast-moving teams, but it needs solid CI/CD and feature flags

... interested to know and get feedback about flag features systems, these platforms help developers and product creators release untested or test new features in production with toggles, flags