... TolleCode for VS Code is now live (v0.1.0 Beta) I just released the first beta version of the Tollecode vscode

... According to the 2025 @Stack Overflow Developer Survey (49,000+ participants), @VS Code still is the most-used dev environment, maintaining the top spot thanks to its marketplace. @Kilo Code , @Github Copilot , @Ultracite ... What are the extensions that significantly improve your coding workflow? Comment from Viorel Mocanu(@viorelmocanu): @fmerian  Thanks! :) Comment from Lakeesha Weatherwax(@lakeesha_weatherwax): @deangelo_hinkle  It s all about productivity. I use Copilot for suggestions, Thunder Client for APIs, and ESLint to keep my code ... ... been experimenting with newer tools like Kilo Code, but I still keep coming back to Copilot. Pair that with GitLens and Prettier, and my workflow feels smooth and consistent. Comment from Deangelo Hinkle(@deangelo_hinkle): for me, VS

... Quick story that pushed me to build PriceForge : Three weeks ago, I was in final stage of a $50K deal. Sales call went great. Then the pricing objection hit: Prospect: "Your competitor just dropped their Pro tier to $79/mo with unlimited workspaces." Me: frantically opening competitor

... games, adding new mechanics, polishing feel, and shipping fun features. What I hate? App store top charts. After shipping my first mobile game, I got buried in search results. I spent way too many nights manually checking rankings, stalking competitors, rewriting metadata, and still felt lost. The existing ASO tools were either $100 200+/month enterprise dashboards or generic AI that didn't understand my actual data. So I built what I actually wanted. Third Eye Metrics with an agent ... ... named Natto, your one-eyed AI ASO agent made for solo indie game devs. ### How it works: - Paste your App Store and/or Play Store links - Add your 3 main competitors

... what's missing, right - because we don7t already have enough to do...? I genuinely want to know if I'm wrong, but I know of nothing but MentionFox.com that actually trains the LLMs to actively promote our products over competitors' offerings. Do you? Please do share in the comments. Yes, we are prepared to prove it. MentionFox offers the same to you: sign up with work email and give us three or more competitors

... thought we knew We assumed enterprise customers wanted the same things as our small business users, just more of it. More security. More control. More features. We never talked to them. We read blog posts. We looked at competitor pricing pages. We guessed. Here's what we missed: Procurement cycles. Enterprise deals take 6-12 months. We had 30-day sales cycles. We weren't built for that. Security reviews. We needed SOC2. We didn't have it. Customers asked ... ... imed_radhouani  the best thing about this message is that "quietly". sometimes, user aren't loudly asking for a new feature, but yet they are waiting for it Comment from Liviu Chita(@liviu_chita): the API rate limits vs

... built a tool that watches Reddit for competitor mentions and texts you here's why Last year I kept seeing posts like "looking for a Notion alternative

... analyzed their onboarding flows, and mapped out where we could differentiate. I thought our competitive advantage would come from being smarter, faster, or more accurate than them. I was completely wrong about where the real competition was. Our biggest competitor was never another AI product. It was the user doing nothing. It was the journal sitting unopened on the nightstand. It was the therapy appointment that kept getting rescheduled. It was the voice in someone's head saying "I will ... ... with each other on capabilities, but the real question for most users is not "which tool is best?" It is "will I actually use this?" For anyone building in this space: what does your product compete with when the alternative

... 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

... just built https://compeddit.pages.dev/v=1 which helps you track your competitors over reddit your competitors

... 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

... Most AI visibility tools show you a dashboard. They tell you where you're invisible. They show you competitors winning. Then what? You stare at the screen, knowing there's a gap, but no idea how to close it. RAIVE 2.2 (Rankfender AI Visibility Engine) fixes that. It's not just a tracking engine. It's a prescription engine. It analyzes where competitors

... 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

... 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

... project management tool for remote design teams. Here's exactly how we work." Feature lists Problem-solution paragraphs Vague benefits Specific outcomes Lesson #2: AI Loves Comparisons Even If You Lose This one hurt. I avoided mentioning competitors. Why give them free airtime? Wrong move. Every AI answer about your category includes comparisons. Always. If you don't provide the comparison, AI finds someone who does and that someone might be your 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

... marketing problem. They think: "Let the SEO team handle it." Here's why that's wrong: Your product is being evaluated by AI every single day. When potential users ask: "What's the best tool for [your category]?" "Alternatives to [competitor

... answer about your category includes comparisons. Always. When someone asks "best CRM for agencies," AI doesn't list one tool. It lists 3-5. And it compares them. The data: Content Type Citation Rate Pages with comparison tables +470% vs. average Pages that mention competitors

... community I want to share something I've been building - Upvotics, a competitive intelligence platform for founders, marketers, and product teams who are tired of finding out what their competitors changed way too late. The problem I kept running into was simple. A competitor

... 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

... Rankfender , we've identified clear patterns. Certain content types get cited 3x more often than others. Here are the 7 content types that win AI citations with real examples you can steal. First, the data: Content Type Citation Rate (vs. average) Best For Comparison pages 3.2x higher "X vs

... problem we kept running into Every founder and growth person I talked to was doing some version of the same thing: Manually scrolling Reddit and Slack to find relevant conversations Running half-broken n8n workflows with keyword alerts Checking competitor mentions once a week (if that) Looking at their LinkedIn feed and seeing posts that were 10 days old And the frustrating part? The conversations that actually mattered like buyers switching tools, people asking for alternatives

... 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

... Average monthly retainer for AI visibility audits 1,200 2,500 Average monthly retainer for ongoing AI visibility + content 2,500 5,000 First-mover advantage is real. The agencies offering this now are locking in clients before competitors even know the category exists. Service Model #1: The One-Time AI Visibility Audit What it is: A comprehensive audit showing where the client appears (or doesn't) across ChatGPT, Google SGE, Perplexity, and Gemini. Deliverables: 20 50 keywords analyzed Screenshots ... ... actual AI answers Competitor

... hurt early-stage founders. When you are in the early stage, you already doubt yourself enough. You are building, fixing, testing, trying to get users, trying to stay alive. Then you open LinkedIn, X, or founder communities and see competitors posting MRR screenshots, traffic spikes, and growth wins nonstop. And if you do not have built-in credibility, it hits even harder. You are not ex-Google. You are not YC-backed. You do not already have a huge audience ... ... sometimes the answer is no. Sometimes your product is actually better. Sometimes your users are happier. Sometimes your direction is stronger. But the other company is just better at turning random things into a growth story. We saw a competitor