... 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 fmerian(@fmerian): @jonabiola  what do you enjoy the most with @Github Copilot ? anything they could improve? 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

... money without effort' or 'Launch a business in minutes.' People often fail with these because they realize AI isn't a magic 'think-for-me' button you still need to be the architect of your own workflow. Omen Instant TTS was born from a real bottleneck : the slow pace of reading large volumes of text and code. It doesn't promise magic; it promises real speed: Select text, release mouse, and audio starts instantly. Works 100% offline no servers ... ... replace your judgment; it empowers it. It is an extension of your mind, built to help you work faster and with less friction. Comment from vishal(@vishal7017): @alan_guillermo_mendoza_bueras The offline part is what gets me. Every TTS

... this guide isn't just a quick summary. We're going to go deep. We'll explain exactly what Snaply is, how it works, why privacy matters so much for dictation tools, how it stacks up against every major alternative, who it's best for, and how to get the most out of it. Whether you're a solo professional, part of a team, or evaluating dictation software for an enterprise deployment, this is the most complete breakdown ... ... find. Table of Contents Why AI Dictation Matters in 2026 What Makes a Truly Great Dictation App What Is Snaply? Snaply's Core Features: In Depth Why Privacy Is Non-Negotiable for Dictation Snaply 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

... 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

... everyone Quick update on VertoX. We ve made a lot of progress on the backend and core systems. We re building our own open-source ASR NMT TTS pipeline and aiming for ~1 second real-time translation. Right now, we support 17 output languages and 10 input languages, with plans to expand further. We re also working on voice cloning from the start, so translations keep your tone, emotions, and your actual voice. Plus, adding voice detection to make conversations ... ... come across The Sponge before; it looks like a cool product, and I m already following it. Happy to support your Product Hunt launch! Comment from Mohammad Zeeshan(@mohammad_zeeshan13): VertoX is a fascinating build real-time ASR+NMT+TTS

... 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

... That compress the KV cache (the biggest memory bottleneck during AI inference) by up to 6x with mathematically proven quality preservation. In plain terms: your AI models now use a fraction of the memory without getting dumber. Before vs After On a 16 GB machine: - Before : Llama 3.2 1B + Whisper Base + TTS

... 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

... transcription, 11 for text-to-speech, with 23+ natural speaker voices. If you're creating content in Hindi, Tamil, Telugu, Bengali, or any Indian language -- this is the best engine for you. 3. Smallest AI (NEW) -- Ultra-fast cloud TTS and STT. ~100ms latency, 80+ voices across 15 languages, and speech-to-text covering 39 languages with speaker diarization and emotion detection. This is our most versatile engine yet. What you can do with Smallest AI - Generate voiceovers in English ... ... architecture. Adding a new voice or transcription provider is straightforward, and we want the community to drive what comes next. Models we're considering: - ElevenLabs (premium voice synthesis) - Deepgram (real-time STT) - Fish Speech (open-source voice cloning) - Kokoro TTS

... 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

... also available for power users, but most people won't need it.) --- What it can do Offline local inference - 12+ ASR models (SenseVoice, Whisper WebGPU, Paraformer, Parakeet TDT...) - 49 Opus-MT translation pairs + Qwen 3.5 for multilingual translation - Multiple TTS engines (Piper, Matcha, MeloTTS) - Smart model variant selection based on your GPU capabilities 7+ cloud providers (optional) OpenAI Realtime (GA, WebRTC), Google Gemini, Volcengine (ByteDance), Palabra AI, any OpenAI-compatible endpoint, or our hosted Kizuna AI option. Bring your ... ... latency processing, built-in noise suppression, dynamic device switching mid-session, cross-platform system audio capture, virtual audio devices on macOS/Windows. 35+ UI languages the app itself speaks your language too. Other highlights: text input translation, karaoke-style TTS

... faceless YouTube channels actually cost to run. So here's a real breakdown. Monthly costs for a 2-video/week channel: Voiceover (the biggest variable): Hiring a narrator: $50-200 per video (varies wildly by length and quality) Cloud AI TTS (ElevenLabs, Murf, etc.): $22-99/mo depending on character limits Self-recording: $0, but 2-4 hours per video for scripting + recording + editing takes Local AI TTS

... 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

... find lines that are too long for gameplay flow It costs nothing You can iterate in minutes, not days Don't worry about sounding "good." Placeholder VO just needs to prove the dialogue works in context. Phase 3: Free TTS for volume When you have 50+ NPCs, recording yourself doesn't scale. Free TTS

... 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

... 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

... 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

... from Memi Lavi(@memi_lavi): I would suggest looking at it the other way around: Define what's the conversion rate you want to see, and work from there. The Freemium model is always a trade-off: Collecting users vs making income. The balance dictates the conversion rate. I'm currently thinking about the exact same question for a product I'm working on, and this is how I try to think of it: When considering the free/paid features ... ... other hand - a not-so-happy free users will never become paid ones, and users, even free ones, are a great resource that can be used for other endeavors. So first I think about the goal - free users 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

... answer first. If they find it immediately, they cite it. The structure makes extraction easy. Step 2: The Comparison Page Template Comparison pages drove 40% of our citation growth. Here's our exact template: Title: [Brand X] vs [Brand Y]: Which is better for [use case]? Quick verdict (100 words) Who wins and why One sentence summary Feature comparison table Feature Brand X Brand Y Feature A Feature B Feature C Price XX YY Detailed breakdown (by feature) How each ... ... margin of error. Result: This block was cited verbatim by Perplexity within two weeks. Step 5: The 90-Day Update Cycle We analyzed citation decay across 500 pages. The drop-off is steep: Months Since Update Citations (vs