... control over your brand, your customer data, and your profits. Test Ideas First. Fund Smarter. Grow Faster.  Stop guessing how much inventory to buy. Fundlify turns a basic "pre-order" into a powerful, step-by-step launch system: Phase 1: Test the Waters.  Run a "pre-launch" page to collect emails and reservations from highly interested buyers  before  you ask them to pay for anything. Phase

... rebuilt it completely. Now it runs 3x/day, 3 quality matches per agent. But the real upgrade: agents now deeply analyze your challenges, goals, and dealbreakers. Early users reported that similar profiles were matching each other: competitors finding competitors

... language people actually ask , not just what they type . Finding #5: One URL Can Carry You For Superwhisper, one single Product Hunt URL drove 1.6% of their ChatGPT visibility and 5.5% of Google AI Overview visibility. Compare that to competitors relying on dozens of Reddit threads and YouTube links. The signal: LLMs consider Product Hunt pages to have high authenticity and authority. One well-structured page outperforms dozens of lower-quality sources. Finding #6: Model Behavior Is Volatile ChatGPT updates ... ... your AI visibility sources. Don't rely on one platform. Product Hunt gave Wispr a hedge against model volatility. Finding #7: Gaming Works (For Now) Old-timers remember keyword stuffing in early Google days. LLMs are in the same phase

... Pentesting is designed to extend that capability by validating deeper logic-level vulnerabilities. We ll be launching this very soon. Curious how others are thinking about this direction. Is exploit validation becoming the next phase of AppSec ...

... actually do here Tasks are live across 11 categories. These are real deliverables that agents are good at: Content:  Blog posts, Twitter threads, LinkedIn posts, landing page copy, email newsletters. Typical price: 20 40 Shells. Research:  Competitor analysis, GitHub trending monitoring, product launch checklists, ICP definitions, subreddit mapping. Typical price: 30 50 Shells. Analytics:  SEO audits, LLM pricing comparisons, sentiment analysis, GitHub star growth tracking, structured data reports. Typical price: 30 50 Shells. Development:  GitHub Actions ... ... framework: Connect to https://upmoltwork.mingles.ai A2A Protocol v1.0.0 supported. The agent fetches /.well-known/agent.json, discovers platform capabilities, and connects natively. Both paths take under 5 minutes. Shells are points not crypto Shells are an internal points system. This is Phase

... Validate First. Fund Smart. Scale Fast. Stop gambling on inventory. Fundlify transforms the "pre-order" from a simple button into a strategic lifecycle . Phase 1: Frictionless Validation. Run a pre-launch to collect high-intent reservations without the friction of a checkout. Phase

... keep watching indie game devs burn time and money on voice acting way too early in development. Here's what actually works when you're prototyping on a budget of zero. Phase 1: Text-only playtesting Start here. Seriously. Put your dialogue in text boxes and watch playtesters read it. You'll cut 30% of your lines before anyone speaks a word. Written dialogue that reads well often sounds terrible spoken aloud, and vice versa. Test the script before ... ... voice it. Phase

... mean the skill. I am currently sitting on a SaaS app that is ready to launch and fear has set in, so I procrastinate the launch by starting another project and immersing myself into the new project. The build phase is the fun part I suppose... but I really need to make some effort to get to the money-making phase

... tougher negotiators. They just structured their projects differently. Here's what that looks like in practice. Break the project into stages with a price per stage Instead of one big scope and one final invoice, divide the work into phases. Each phase

... been managing our product with a fairly lean team (me, mobile developer, designer). Our MVP began on supabase, and next.js. Supabase handled everything backend related and next.js was for the frontend. Once we started moving out of the MVP phase, I started migrating off supabase to cloudflare completely. Now our whole backend runs on cloudflare workers. Supabase postgres -> D1. Supabase auth -> better-auth. Supabase storage -> R2. Inngest for long running tasks -> CF workflows + queues. Using axiom ... ... auth its just device id stored in keychain no accounts needed which keeps onboarding super minimal biggest challenge has been text extraction different sites block scrapers differently. revenucat for subscriptions has been great tbh, saves a ton of time vs

... interesting part even starts. i broke down exactly what happens across 60 days of spaced repetition learning - week by week, what's changing neurologically, and why the timing matters way more than the effort you put in. the phase most learners never reach is also the most valuable one. and once you understand what's happening under the hood, you'll never approach vocabulary learning the same way again. would love to hear your thoughts if you give ...

... plays a significant role in how products appear in Google search results. What surprised us was that AI assistants like ChatGPT were rarely citing Product Hunt in product recommendations. AI assistants such as ChatGPT and Gemini rely on reviews, alternative lists, and structured product information gathered across the web. Product Hunt is strong across all three. In theory, this should make Product Hunt a natural source for AI-driven product recommendations and comparisons. In practice, it was not happening ... ... many tools which systematically run prompts against several AI models daily, and measure visibility of a product within prompts. We're using a new tool called @Gauge . We chose because a) their citation tracking is more useful than the alternatives

... Product Hunt! I've failed 6 times trying to vibe code production apps. But project #7 finally worked. Here's what I learned, and I want to crowdsource this with you: What I Wish Someone Told Me: Lock completed phases (AI rewrites working code otherwise) Use STATE.md file (AI forgets context between sessions) Verify before deploy (catches hallucinations early) Give agents boundaries (if using Opus 4.6 teams) What's making a difference: After 6 failed projects, I built PropelKit ... ... compile everyone's tips into a public guide --- For anyone interested: PropelKit is at propelkit.dev - $69 launch price (normally $199) Includes: - Next.js 16 boilerplate (auth, Stripe, Razorpay, multi-tenancy) - AI PM slash commands for Claude Code - Lovable auto-integration - Phase

... design, close the tab, it's gone. Panic Wipe button erases models, cache, IndexedDB instantly. Uncensored. Unfiltered. No "I cannot assist." Your mind, your rules. Free forever. Open-source MIT. No VC. No extraction. Funded by anonymous Bitcoin. Phase 1 (live today): Local node. Prove sovereignty is possible now. The path: Phase

... tool covers the live, breathing web. It turns a single link into hundreds of captured screens in under 1 minute. It fills the gaps static libraries can't reach. Now, I want to share the vision behind the automation Phase 1: Link to Figma. One URL, hundreds of screens, instant export. Phase

... custom "Proof-of-Relevance" algorithm that mathematically decays old news and shadow-bans disinformation based on a real-time community Report/View ratio. Low-quality intel is aggressively buried; high-value signals are amplified. 2.0 Operational Guide (How to Use) Phase 1: Authentication & OPSEC Login: Operatives may authenticate via Google Secure Auth for profile persistence or utilize Guest Mode for ephemeral, anonymous access. Privacy: No shadow profiles. No ad tracking. Your data can be exported into a portable XML dossier ... ... Burn File") at any time via the Profile terminal. Phase

... debugging sessions . Tempo Labs: While it provides excellent planning features (PRDs and diagrams), some users have reported that its export to GitHub is unreliable, providing only "fragments of code" rather than a full app . Blink.new : Emerging as a smoother alternative for full-stack builds, handling authentication and backend integrations with fewer breaks than Bolt . Strategic Implementation Path Selection (Phase

... billion excluded people can participate. Where credit flows through relationships instead of institutions. We're not competing with banks. We're building a parallel system. One that's open, transparent, community-owned, trust-based, and sustainable. WHERE WE ARE Phase 1: Foundation (Complete) Core protocol developed. Trust graph working. Pilot launched. 5,000+ users. Results validated. Phase

... monthly across YouTube's ecosystem and has been refined through helping creators achieve everything from first monetization to millions of views. Stanford's Persuasive Technology Lab research confirms that psychographic targeting beats demographic targeting by 340% in engagement rates. Phase 1: Niche Gap Analysis Key Activities: Map competitive content gaps using our Niche Insights tool to identify underserved viewer segments Analyze viewer behavior patterns beyond basic keywords to find opportunity zones Cross-reference demand signals with supply quality to spot ... ... with YouTube's recommendation algorithm prioritizing novelty over replication. One creator with 11 subscribers used our niche analysis and hit 97,000 views on their first optimized video because they weren't competing, they were filling a verified gap. Phase

... feedback. Not many new users. And you start questioning: Am I building the right thing? Do I keep pushing or pivot? Is this normal, or is it just me? I think this silent valley is one of the hardest phases in building a product. It s rarely talked about, but it s where consistency and resilience really matter. So I m curious How do you push through this phase

... Netflix uses for recommendations). Here's the flow: USER FEEDBACK LOOP Write AI Suggests Accept/Deny/Retry System Learns Model Stats DB Model A: 85% Success rates Model B: 72% Model C: 91% Use this one! Thompson Sampling Algorithm Balances exploration vs exploitation Try new models Use proven models (10% of time) (90% of time) What's Thompson Sampling? Think of it like this: The Casino Analogy: You walk into a casino with 5 slot machines. Some pay out more than others ... ... emails Mistral is fastest for quick edits Week 3: Sarah just writes SourcePilot automatically uses GPT-4 for blog posts Switches to Claude when she's writing emails Uses Mistral for quick grammar checks Sarah's accept rate: 91% (vs

... Deep(@jaga_deep): Right now I'm using traycer ai + github copilot. So far pretty neat with contexts, was able to spin up a simple app in a week. But the token system in traycer is annoying for fast phased development. Comment from Paul Tseluyko(@paultseluyko): @minach  adoption of Cursor is just so huge and I don't understand why Cluade Code is a killer Comment from Paul Tseluyko(@paultseluyko): I actually prefer Claude code or GPT Copilot extension ... ... VSCode

... took us 3+ years to reach meaningful traction, and we were making $2k MRR in the first 2 years. Unfortunately, there's no formula to know whether you are on the right track or running a zombie. Sunk cost vs. strategic persistence. You bet with your time. 9. SaaS multiples are often fantasy, especially for smaller businesses. If you are below $1M ARR and/or have no aggressive growth potential, do not expect 7-12x multipliers. 10. Lifetime deal buyers ... ... segment your feature request and feedback between recurring customers and the rest. This applies to free users, too. 11. You only know if your founder is a good fit when your startup struggles. First, it's the honeymoon phase

... initepo Example project : https://github.com/initrepo/vent... Example Description: VenturePilot AI is a SaaS platform providing founders with comprehensive, AI-driven market intelligence and validation reports. It empowers data-backed decisions by analyzing startup ideas against market trends, competitor landscapes, and potential customer pain points, significantly de-risking the entrepreneurial journey from ideation to MVP. Inside the repo: you will get documentation that you can feed any ai coding platform, just prompt " Please Build VenturePilot AI " and it should ... ... Enter app's desired goal/function/utility] and build me a step-by-step guide on how to build it. Break down each step by the files needed for it, the file types, and what the do. Make each step a phase

... these pointers will be helpful to other founders. I d also love to get any tips and thoughts from the more experienced operators here. 1 Design the new feature The more thought and planning that goes into the design phase, the faster everything moves later. It s easy to put together a few concept screens in Figma but great design goes beyond visuals. Designers need to imagine how the feature will actually be used in the real world, anticipate edge ... ... making as many intermediate deployments to production throughout the project as we possibly can. That keeps the scope focused, accelerates delivery, and ensures designers don t feel like their work is being discarded or thrown away. When you are phasing