... expanded beyond a Gmail-only beta and removed the waitlist. I had resisted opening up because Ting still occasionally made mistakes. I worried users would be upset. I was wrong. Restricting access was restricting our signal. We quickly doubled from 100 users to 200. Every user had to connect both their calendar and email, so this was a high-trust product. We were happy with the growth. September Said 'largest PC manufacturer' went through a reorganisation. The opportunity disappeared. That ... ... market: I speak Portuguese, Mariana is Portuguese and my wife is Brazilian. We ran a test in Portuguese. We recruited 100s of Brazilian users in three weeks, mainly thanks to Ting on WhatsApp. IYKYK . December Based on competitors

... didn't either. I wrote the fixtures, so I never thought to send the same event twice. My assumptions were just checking my assumptions. What actually caught it Running the failure. Deliver the event, deliver it again, watch the double-credit, add the dedupe, run it again, watch it hold. Agents probably make this worse because they learned from the same quickstarts that only imagined one clean event. Curious what broke for you A bug that sailed through review ... ... where my post stopped. the app-level dedupe i described still races: two copies of the same event land within milliseconds, both read 'not seen yet,' both write. looks correct in review, passes the single-delivery fixture, and still double

... call to surface the AI's mark as a suggestion to review, not a final score, because presenting it as settled felt dishonest. Curious how others building agent/AI tools are drawing that line different UI for "AI generated this" vs "AI judged this," or same treatment either way? Comment from Ghost Kitty(@ghost-kitty-10042916): Comment Deleted Comment from Kseniia Shevchenko(@kseniia_shevchenko2): Confidence should never be mistaken for certainty that s basically AI wearing a suit With Oscar Chat ... ... farrukh_ahmed8877): @luke_bell  True, and it's a little uncomfortable how much that one word is doing. Same confidence, same model, same output the label is the only thing that changed, and it still shifts whether someone double

... useful than hypey. Here's the honest map: what we test, what we don't (yet), what languages it works with, and where we're going. The failures we test for (the "it passed, then broke in prod" stuff): Double-processing the same webhook arrives twice; do you charge the customer twice? Out-of-order / late events a "canceled" and a stale "active" land in the wrong order; does a canceled account come back to life? (live for Paddle today ... ... being straight): Pinned/frozen scenarios our fixtures are still mutable on our end, so an update from us can shift your result. No lockfile yet. Drift detection we don't yet warn you when the real API changes shape vs

... After the initial launch spike on Product Hunt, most early-stage founders face a critical fork in the road: whether to double down immediately on aggressive paid distribution or spend those first weeks refining onboarding based on launch feedback. From analyzing recent SaaS releases, a recurring pattern shows up: startups often see high top-of-funnel traffic during launch week, but bounce rates spike on cold channels (like LinkedIn or Meta Ads) because abstract AI features are hard to demonstrate ...

... only caught it because I kept trying to remember who I was supposed to be meeting. The interesting part is I still use it for the same task; I've just learned which of its confident moves to double-check. It feels a bit like working with a sharp new hire who's still finding their footing. When did you first notice your AI agent needed a second look, and did you stop using it or just build a workaround ... ... needs attention" with total confidence, and I trusted it right up until it was wrong about something that mattered. What actually fixed it wasn't a smarter model, it was forcing it to rate its own confidence honestly, Verified vs

... when users came back after a gap, the app acknowledged the gap without judgment. "It's been a few days. No need to catch up. Start wherever you are." No prediction. No nudge. Just patience. Retention over 30 days doubled. Not because we were bringing people back more aggressively, but because the people who came back felt safe doing so. They weren't returning out of guilt from a notification. They were returning because the space was still there, unchanged ...

... touch a thing. 3. Budget pacing and overspend forecasting. Projects end-of-month delivery. Flags blown budgets early. 4. Creative performance breakdowns. Ranks every ad by ROAS, CTR, CPA across both platforms. 5. Cross-channel attribution checks. Flags double-counted conversions between Google and Meta. 6. Audience overlap and wasted spend detection. Finds the ad sets cannibalizing each other. 7. Search term mining and negative keyword lists. Finds the negatives I should have added last month. 8. Landing page ... ... tracking QA. Checks every URL and pixel fire in the account. 9. Competitor

... Overviews and AI Mode. This is the baseline for any AI visibility strategy. Identify which pages perform best in AI answers. The reports show you which URLs are surfaced most often. You can see what content actually works and double down on it. Monitor your AI performance across different countries. The reports include geographic data. You can see if your content is more visible in one region and less visible in another. Understand device-specific performance. The reports include device ... ... data is now available. There is no excuse for guessing. The report is rolling out now to a subset of sites before full availability . Start checking your account. The bar has been set. If you have data and your competitors

... Basedash s AI analyst is now more rigorous about the kinds of questions that trip up most tools. It s more careful with ambiguous metrics, distinguishes named rates from their supporting deltas, notices when a data source is stale versus fresh, and double

... device. muntlab.com if curious Honourable mention: a good coffee machine. Non-negotiable. Comment from Olaoluwa Oluwaniyi(@zedgi): Here are my 5 (I couldn t function without them): Cloudflare DNS, CDN, security, Workers it quietly runs everything behind the scenes VS Code my daily driver for writing and debugging code; the extensions ecosystem is unmatched GitHub version control, CI/CD, collaboration the whole dev workflow lives here ZinTrust zero-dependency TypeScript framework for building fast backends and APIs. Clean architecture without ... ... solo founder, these are the five tools I use almost every day: ChatGPT VS

... genuinely hard to hold, and most tools quietly drop one side of it to make the UX cleaner. The fact that it came from a nurse background shows. That clinical instinct for what patients actually need to understand vs what just sounds thorough is not something you can prompt-engineer your way to. Comment from Nolan Vu(@nolan_vu): @priyatharshini_c  The "financially invisible" framing is sharp. That's the exact gap. Creators have real revenue but no verifiable ... ... generic to actually tailor against meaningfully? That's usually where automated resume tools fall apart in my experience. Will check out the link, sounds genuinely useful for the right audience. Comment from Nolan Vu(@nolan_vu): @thenameisarian  Interesting, alternative

... voice, images, or live camera feeds. Image input queries are growing by over 40 percent month over month The numbers that explain why this matters AI Mode has surpassed 1 billion monthly active users globally . Queries have more than doubled every quarter since launch . The average AI Mode search is three times longer than a traditional Google search . Follow-up queries in AI Mode rose over 40 percent monthly in the US . Top keywords include "information," "identify," "find," "explain ... ... factual, structured, and authoritative enough to be cited inside those generated experiences. 3. Your brand's entity footprint now matters across personalized contexts. The same search for "accounting software" will yield different results for a solo founder versus

... actual insight, and it's bigger than it looks: making the notification say why it's waiting is what turns a ping into a triage. "Done" makes you tab back to find out what "done" means. "Needs approval vs finished vs

... start from where i'm sitting: i talk to founders, hiring managers, and recruiters every week, and the same conversation keeps coming up. nobody trusts their pipeline anymor Application volumes have doubled since 2021. Cheating on technical assessments doubled

... makes pricing easier. Products from anonymous creators compete on price. Products from known practitioners with a track record compete on trust. That's a completely different conversation. Comment from Samir Asadov(@samir_asadov): For specialist/practitioner products this 'brand vs product' framing breaks down the product IS the brand statement. A financial model template built from real deal experience signals more credibility than a thousand brand posts ever could, because the buyer (a CFA with a deal on their desk) reads ... ... busmark_w_nika   @deangelo_hinkle   @henry_lindsey  Henry, I don't think you separate it, especially when you built it around your brand/identity. You just sort of outgrow it. Early on founder = distribution, it works, you double

... most important and challenging experiences you ll have as a founder is fundraising. I pitched VCs across London and San Francisco. Some spent 15 seconds on my deck. Some took the call just to diligence a competitor. One told me to ask for more money. Oh, and I found out your pitch is probably being recorded and run through AI. This is the high-impact version of all of those lessons to save you time, energy, and emotional damage. Please ... ... just politely wait for your turn to talk. Ask questions. Do they invest in your market? Do they lead or follow? Etc. You can learn very quickly whether the meeting is worth your energy, or where to double

... Last month, I did something that felt slightly insane. I took our product description, fed it into ChatGPT, and asked it to build a competitor. Not a parody. A real competitor

... standard ranked order . Hidden Points To keep the focus on the products rather than the "score," all points will be hidden from public view to encourage the community to vote based on merit, not current rank. The "Double" Boost Here is the kicker: Every vote cast during a randomized period counts for double

... Maybe more. Here's the painful truth: Your site is translated. Your AI visibility isn't. When a German user asks ChatGPT in German about your category, you're invisible. When a French prospect searches Perplexity in French, your competitor shows up. Translation AI visibility. And it's costing you. The Data We tracked 200 SaaS companies with multilingual sites at Rankfender. Market % Visible in Local AI Answers US (English) 64% UK (English) 58% Germany (German) 22% France (French ... ... Founder: B2B SaaS, 8M ARR "We spent 40k translating our site into German and French. Beautiful work. Native speakers. Perfect messaging. Six months later, we checked German AI answers about our category. We weren't there. Not once. Our competitor

... found errors. Average cost: 28k." 120k impressions, 400+ new signups. Free resource: Post as a human. Share what you're learning in real time. People don't follow companies. They follow people. 5. Multi-Language: The Hidden Channel Most competitors track AI in English only. We built for 120+ languages from day one. Why: A German user asks in German. AI answers in German. If you're not in German content, you don't exist. One example: A US SaaS ... ... with perfect German translation had zero German AI mentions. A local competitor

... form opinions based on how inclusively you conduct public conversations . Finding #4: Page Structure Drove Citations Product Hunt's own AEO case study showed clear patterns. Change Impact Adding FAQ section 10x ChatGPT citation rate Google AI Overview citations Doubled after FAQ addition Category page impressions +200% after Q&A content Terminology matters. Product Hunt changed a page title from "The best AI dictation apps" to "The best AI dictation and speech-to-text software." Result: citations tripled overnight ... ... 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

... founder of Munch. I built this because I kept watching creators spend hours turning one video into posts. You paste a YouTube or Vimeo URL Munch extracts the transcript using 5 fallback strategies (so it actually works on videos competitors choke on) Claude AI writes 8 complete, platform-ready pieces in ~60 seconds. No file uploads. No per-action credits. One munch = everything. PH exclusive: Your first munch is completely free, no card needed. Just sign up at munch.video ... ... outputs, no subscription Annual plans available on all tiers. ============================================================================ WHAT'S RUNNING UNDER THE HOOD (the stuff that proves it's not just smoke and mirrors) ============================================================================ WHY CLAUDE? =========== Munch runs on Claude Anthropic's flagship model, not a cheaper alternative

... outputs, no subscription Annual plans available on all tiers. ============================================================================ WHAT'S RUNNING UNDER THE HOOD (the stuff that proves it's not just smoke and mirrors) ============================================================================ WHY CLAUDE? =========== Munch runs on Claude Anthropic's flagship model, not a cheaper alternative. We made a deliberate choice not to cut corners on the AI layer because the AI layer is the product. Long-form content repurposing requires a model that can hold narrative across 800 words, match a brand voice consistently across ... ... different formats, and write something you'd actually publish not something you spend 20 minutes editing into shape. We tested the alternatives

... days ago, I shared the 10k mistake product owners make with AI search. The response was overwhelming. Since then, we've more than doubled our dataset at Rankfender. And many found they were invisible. But here's what scared me more: Of those who WERE visible, 43% had incorrect information in AI answers. Not "suboptimal." Not "could be better." Wrong. Outdated pricing. Missing features. Wrong founder bios. Competitors