... Google recently announced and pushed two new models into the Gemini API. For informational purposes, I am breaking down what's confirmed vs. what's just early testing chatter so far. Nano Banana 2 Lite (gemini-3.1-flash-lite-image): Text-to-image in around 4 seconds. $0.034 per 1K-resolution image. Positioned as the direct replacement for the original Nano Banana. (gemini-2.5-flash-image) Rolling out across AI Studio, the Gemini API, Gemini Enterprise, and consumer surfaces. (Search ... ... /sec of video output, same rate as Veo 3.1 Fast. Confirmed limitations: Capped at 10 sec of generations for now, no audio reference uploads or scene extension yet in the API, character consistency across scene changes still has rough

... source spam filter called SpamAssassin doing the filtering. That world is gone. On the consumer side, Gmail launched in 2004 and gradually took over. By 2015 it had overtaken Hotmail as the most popular US email provider, and today roughly three-quarters of US adults aged 18 64 use it. Source: https://www.statista.com/chart/3... The business market consolidated along the same lines, just a few years behind. Google launched G Suite (now Google Workspace) in 2006. Microsoft responded with Office ... ... Today those two products account for roughly

... probably saw the VS Code 1.117 story: "Co-authored-by: Copilot" silently added to commits by default, including for code that Copilot never wrote. Microsoft reverted it in 1.119. Good. But the revert is the wrong ending to the right story. The developer anger was about consent and accuracy both valid. What did not get picked up in the discourse was the architectural question underneath: even when Copilot does write code, a git trailer tells you almost nothing useful ... ... just says "an AI tool existed in this editor." That is not an audit trail. I have been building LineageLens to capture provenance at insertion time before the diff ever hits git. Each insertion generates a structured record with roughly

... gaps where a process used to be. We spent a couple of days chasing the wrong thing. Then we found a Kubernetes default we d never thought to override, and the crash loop stopped. Here s the debug, in roughly the order it happened. The first clue: silence Pods restart sometimes and we re used to that, but the weird part was how quiet these restarts were. Every Node.js service we run has a SIGTERM handler that drains connections, flushes ... ... Translated: kubelet calls /health, waits up to 1 second for a response, and if it doesn t get one in that window the probe is failed. 3 failures in a row at a 10-second cadence, so roughly

... terms for people here. Not just upvotes or comments, but actual outcomes like: site visits signups activated users paid conversions retention after the spike If you re open to sharing, it would be interesting to know: what you launched roughly how much traffic Product Hunt sent what that turned into whether the users were actually good long-term users whether you d do it again Even rough

... There used to be at least some clear logic behind startup valuation. You d take: hours rate MVP cost. That gave you a rough valuation floor. Not perfect. But it was an anchor. That anchor is now gone. AI made MVPs almost free. ~$300. Two weeks. One person. And if a product costs almost nothing to build what is valuation based on now? The answer is uncomfortable: your product itself is no longer inherently valuable. Investors no longer look ... ... have how much money you ve invested into the product Because none of that proves anything anymore. Now there s only one question: who is paying? If no one is then in their eyes, your startup is worth roughly

... 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 ... ... Promo codes: Redeem codes for bonus munches or discounts. Pay As You Go: 20 credits for $9 one-time. No subscription. Includes all 8 outputs including SEO Blog Post. Annual billing: All plans have annual options. Pay upfront, get roughly

... 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 credited for your work. And the average error sticks around for 4 6 months . Today, I'm sharing the full dataset: 1,000+ SaaS products, 75,000+ AI answers, and the hard truth about what's being said about you when ... ... analyzed 50 brands that discovered errors and tracked the impact. Error Type Average Revenue Impact Pricing error (higher than actual) 47,000 Pricing error (lower than actual) 23,000 (leakage) Missing critical feature 38,000 Wrong positioning (enterprise vs

... 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

... Available to Pro and 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 performance at lower cost and latency. Priced at $0.25 per 1 M input tokens and $2 per 1 M output tokens . GPT-5 nano The penny-pincher s dream for massive-scale classification or trigger-phrase ... ... like button. Benchmarks, benchmarks, benchmarks Benchmarks should always be taken with a grain of salt . They are effectively a snapshot of a models capabilities under near perfect conditions. Sort of like the Big Mac you see on the ads vs

... means do I claim to be an expert on anything mentioned below so I welcome critique as well :) General Advice & Managing Your Bolt Codebase Bolt works well initially but can struggle as your codebase grows beyond roughly 100-200 prompts. Keeping your components short (under 300 lines each) helps manage complexity and Bolt's understanding of your code. Bolt uses the Claude Sonnet 3.7 model, which tends to be overly creative, suggesting unnecessarily complex solutions. Explicitly instruct Bolt ... ... fairly loaded topic. Analytics & Building Your Own Admin Tools Easily integrate Google Analytics by simply inputting your measurement ID into Bolt for basic user insights. Remember to ask it to track key events across your application. Alternatively