... They have their own stores, their own distribution, and live directly where people work. I decided to build a plugin and am wondering whether someone has had success with this one option. ------ Has anyone here successfully monetised a browser extension, especially with subscriptions? I m curious how viable this category really is, since it s probably the smallest compared to mobile and desktop, but I would like to see any potential and "success story" anyway. Comment from Nika(@busmark ... ... format. Mobile crushes it for consumer, web apps rule B2B, and extensions

... just released an update to the browser extension. The extension

... ecosystem is under strain, Blaze can reduce output pressure in bounded ways instead of letting emissions or claim pressure run wild. That can include things like: slowing certain reward lanes increasing friction on overactive loops easing the speed of extraction reducing harvesting efficiency during stressed conditions temporarily hardening resource generation when volatility is elevated This is not punishment. It is pressure management. 2. Adjust world pacing Blaze Balance Engine is not just economic. It is world-aware. That means ... ... look strong while secretly becoming fragile. Blaze Balance Engine is meant to do the opposite. Its job is to make the ecosystem more able to handle: volatility uneven player behavior sudden hype spikes overactive reward loops pressure from extraction

... evaluation. Customer Support Classification (Qwen3-4B) : The improvement compared to base model was small, but definite. Edge cases where the base model confused "Account Access" with "Technical Issue", and feature requests it kept mislabelling. Finetuning fixed those. Invoice Extraction (Qwen3-8B) : Frontier still leads here, but the fine-tuned model fixed something that matters in production. The base model kept dumping reasoning text into the JSON output. After finetuning, it never broke schema. It also became more conservative about hallucinating ... ... warranty detail without embellishment. Feature coverage went from 75-80% to 85-90% after fine-tuning, and the repetition problem the base model had (product names appearing multiple times in a single description) was completely eliminated. Medical Record Extraction

... There's almost no public content on how to monetize a Chrome Extension. Google invited us to do a podcast about it, sharing our learnings on how two bootstrapped guys grew Pretty Prompt to 40,000 users, 25% on annual plans, with ~7% weekly growth, with no VC money. Here's the link if you want to jump right into it. My key takeaways from our chat : 1. Launch before you're ready. We launched on 31st ... ... monetize. Don't worry about complex billing flows or getting everything perfect. Just get one person to pay. Step 1: Launch. Step 2: Did someone pay? Step 3: Optimize. 4. Get users to "aha" in 20 seconds. Chrome Extensions

... months ago, we ran an experiment with our own data. At Rankfender, we tracked 5 of our own competitors across 8 AI systems. We log their share of voice, citation velocity, content gaps, platform variance. Months of raw numbers sitting in a dashboard. I pulled 6 months of data and fed it into Claude. One question: "Based on this, who is most likely to overtake us in the next 6 months? Show your work. Use the data. Don't summarize ... ... Give me the numbers." The answer changed how I think about competition. The dataset: 5 competitors

... Brandon here, 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

... Actually Cares About Beautiful design Structured content Clever copy Direct answers SEO keywords Complete questions Backlinks Original data Social proof Comparison tables I was optimizing for humans. AI is not human. Lesson #1: AI Doesn't Read It Extracts Humans read your About page. They feel your brand voice. They appreciate the design. AI does none of that. AI scans your page looking for one thing: answers to specific questions. If your page doesn't directly answer "what ... ... best tool for X" in a way AI can extract

... just exposure, but the degree to which AI treats your brand as a credible source . Share of Voice (SOV): Represents your brand s voice share within AI narratives the probability that AI mentions your brand rather than a competitor when answering a topic-related question. Sentiment: Captures the emotional tone of AI mentions positive, neutral, or negative showing how AI portrays your brand. Together, these four metrics answer the two most fundamental GEO questions: How frequently does AI mention ... ... brand? and In what tone and context is the brand represented? 1.2 Trends and Competitor

... never did a proper rundown of everything it can do. The launch post covered the basics. This covers everything. THE CORE LOOP ------------- Paste a YouTube URL, Vimeo URL, article URL, podcast RSS feed, or paste a transcript directly. Munch extracts the content and Claude AI generates 8 pieces of content simultaneously: 1. LinkedIn Post 2. X Thread 3. Newsletter Section 4. Carousel Slide Guide 5. YouTube Description + Tags 6. Pull Quotes 7. Marketing Email (subject line, preview text, full body ... ... Blog Post One input. Eight outputs. No per-format billing. About 60 seconds. TRANSCRIPT EXTRACTION

... completion of the feature-set for the platform. I don't think any more features will offer any more utility. Memory helps an assistant remember durable user context over time. Integrations let it work with live operational data from external systems right when a response is being generated. Most useful AI applications need both: memory for continuity and personalization live data for what is true right now Without integrations, teams usually end up building custom glue code for things like ... ... Pull, webhook, or both Some systems are better fetched on demand. Others should push updates when events happen. Supporting both makes the feature much more practical for real products. Scoped data Project-, subject-, and chat-level scoping. Not all external

... just letting it rip . I m very curious whether others have struggled with free trial versus freemium and whether doing both is a bad idea (I m leaning towards that being a yes by the way). I also wonder if we are giving away too much for free and should be feature gating more. The challenge then shifts from a pricing perspective vs

... everyone While working with Claude Code in VS Code , I ran into a small but frustrating workflow issue. For months I ve been using Antigravity , which allows you to select code and press Ctrl + L to instantly send that snippet as context to the agent. Even better, you can repeat this multiple times in the same message, and the UI provides context chips that let you trace the referenced code easily. However, when I started using the Claude Code VS

... Working on the IDE extension layer for Cencurity. Architecture: IDE / Agents Cencurity Gateway LLM providers (OpenAI, Anthropic, Gemini, DeepSeek ) Goal: give teams visibility and control over LLM traffic. The upcoming VSCode

... Minute Audit Step 1: Keyword Selection (5 minutes) Choose 20 keywords to audit: 10 branded keywords: Your company name Your product names Your founder/CEO name Your flagship features 10 non-branded keywords: "[Your category] best tools" "[Your category] alternatives" "How to [solve problem you solve]" "[Your category] vs

... imagine you're thinking about a backend to enable storage and collaboration features down the line? Comment from Ryan Hendrickson(@ryan_hendrickson): @maria_vannicola  Nice! Was there something that brought you to use Firebase over other alternatives? I agree with your decision to focus on building the network first, which will make it easier to open doors to monetization later. Comment from Ryan Hendrickson(@ryan_hendrickson): @matthew_kenchington  Nice! Do you provide some of your previous writing samples ... ... intent, get a draft, edit, send. The human stays in the loop. Here's the rub: Stack Next.js 15 and TypeScript, deployed on Google Cloud Run. Postgres and pgvector via Prisma on Supabase. The core trick is voice fingerprinting: extracting

... been full of work. Between reading about ClawBot and the new "AI breakthrough", my brain is overwhelmed, but it is time to refocus and continue the hard work on our apps. Since my last update, 415 users have made ExtraBar part of their workflow. Some of you replaced entire apps with it. That still blows my mind. The number of staff our user has with ExtraBar

... shoehorn everything into unstructured memories. Neither is ideal. Records give you a schema-driven, queryable, semantically-searchable data layer that lives right alongside your memories and your AI can create and update records automatically from conversations, no extra code required. How It Works Records are built on three layers: Schemas define the shape of your data, the CRUD API lets you manage records programmatically, and the AI extraction

... platform to direct and instruct our memory generation layer. This is what memory polices offers - the ability to guide Mnexium's memory layer. Why Memory Policies? Not every app wants to memorize everything. Some teams need strict extraction rules for compliance, quality, or cost. Others need per-workflow behavior, like high-signal extraction

... Cervantes(@michael_cervantes): I think that its moreso that people are extremely eager to have someone or something solve and handle their problems and challenges. AI agents are positioned as the ultimate solution and so people are willing to take any risk involved if it means solving any painful challenges they face in their day to day. Comment from Henrik Pedersen(@henrikpedersen): @busmark_w_nika  Exactly passive vs

... built a Chrome extension that makes working with QR codes effortless. You can scan QR codes just by hovering over them no clicks, no extra

... month ago, I launched ExtraBar on Product Hunt. I had no idea what would happen. 380 users later, I'm genuinely overwhelmed. Not just by the numbers, but by your feedback, and what you've built with it. What Users Are Saying "The App of My Dreams." One of the most respected Reddit users in r/macapps wrote about it. Another review by one of our users: "I just started using this app this week, but I am convinced it will ... ... keeper." These aren't paid reviews. These are power users who found something that clicked. ExtraBar

... built a new chrome extension called  PolyDiscover  for a pretty simple use case: when reading an article or browsing around "I wonder if there's a Polymarket for this?" But, I'm usually too lazy to copy/paste, open a new tab, etc., and then probably fall down a rabbit hole on the actual Polymarket site. So I made this extension

... Remember when I said "it's coming"? It's here. Bar Presets, our most requested feature since launch, is now live in ExtraBar v1.1.8. And users love it. Since launching, we have been working so hard to make the app fit our users' needs, And make the app feature rice before the launch month finishes, and the price goes up. Bug reports are investigated the same day. Users are pushing ExtraBar

... everyone, I'm building mybets.gg , a "universal" tracker for sports bettors. Most competitors rely on official APIs, which restricts them to just the major US sportsbooks. If you use European sites, crypto platforms, or local clones, you're out of luck. My Solution: Instead of waiting for integrations, I built a Chrome Extension