... while, and I kept running into the same problem. Whenever I had a startup idea, I could ask an AI: "Is this a good business?" And it would give me a surprisingly convincing answer. Market opportunity. Potential customers. Competitors. Business model. Pricing. Growth ideas. The problem was that I wasn't really getting challenged. I was getting a very sophisticated way of making my original idea sound reasonable. That became the starting point for FounderMind AI , something we're building ... ... Evolvix AI. Instead of treating startup validation as one question with one answer, FounderMind looks at an idea through different perspectives: Business Strategy Does the business model actually make sense? Market Analysis Who already solves this problem, and what alternatives

... will be launching my product fiuto.ai on Sep 1. Fiuto was born as a personal tool, it is the tool I was looking for but could not find: Creating studies is an iterative process that requires review and refining with a team. Current tools do not naturally support iteration: users need to move between tools copying and pasting content, images, videos and finally refine

... context I'd already figured out weeks ago. Now, I just reference a Topic and continue from where my research left off And when something useful comes out of it, I open it in Canvas and continue editing and refining it like any other document. So the whole loop is basically: collect, think, create , refine

... been doing ever since. Building software is more than writing code After a while I realized that there was much more to software development than writing code. I became interested in everything that happens before implementation: understanding a business, refining requirements, modeling complex domains, and making software easier to evolve over time. That's how I discovered ideas like Domain-Driven Design, Event Storming, User Story Mapping, Behavior-Driven Development, and many others. Eventually, I started thinking about software development ... ... prompt. As I experimented with them, I realized they were changing one important part of software development. They were taking an idea and jumping straight to the code, skipping the transformations in between. Without an explicit business model, every refinement

... What s inside: - Easy screenshot uploads - Custom background selections - Export in high-res no watermark - $100+ saved annually on subscriptions (I've personally cancelled a tool that did this) The building part was easy, but the real work was refining the logic. I used Notion for the draft, Pretty Prompt for the refinement

... users can review and correct the result before saving it. They can change the food name, portion, preparation method, quantity, or ingredients. When confidence is low, FitBin can request another picture, ask a short clarification question, or provide likely alternatives. In addition to taking pictures, users can search for predefined foods by name. Search results can include common foods, branded products, restaurant items, recent meals, favorite foods, and previously saved combinations. This allows FitBin to remain useful in situations where ... ... information For example, FitBin may explain that a meal provides enough protein for the user s muscle-building goal but contains more sodium than their remaining daily target. It may recommend a smaller portion or suggest a lower-sodium alternative

... below your selected stories. Scheduled drafts know the right issue day. If an automation prepares your Friday issue on Thursday, the AI Writer writes with Friday in mind, following your saved lead time and timezone, including seasonal clock changes. Refine with AI survives leaving the page. Refresh or navigate away mid-refinement

... this and share with others. No amount of scraping the internet gets you there. In fact, top strategy consultancies like McKinsey, world-renowned marketing agencies like Saatchi & Saatchi, and big tech like Google rely on proprietary knowledge bases refined over decades. So no foundation model has ever seen it. This isn't something a bigger crawler or a longer context window fixes; the data simply isn't out there. Which is why general-purpose LLMs, and the startup products ... ... expertise from big tech, strategy consultancies, and unicorns, systematically cleaned, audited, and structured. The neural layer handles nuance and language. Neither layer works alone. What that means in practice: on rule-bound queries we run at roughly 10% hallucination versus

... just shipped plugins, MCP, and skills for ToughTongue AI. What this means: Your coding agent (Claude Code, Codex, Cursor) can now create practice scenarios, refine them from real session data, and analyze team performance - without leaving the terminal. Setup (one command): Claude Code: claude plugin install toughtongue@toughtongue-skills Codex: codex plugin add toughtongue@toughtongue Cursor: Settings > Plugins > Import from Repo What ships: 4 skills: scenario-creator, scenario-refiner

... open, I started to hesitate. My active vocabulary felt rusty, and I realized I was losing my writing confidence. It brought me to a harsh truth: AI is making us fluent in copy-paste, not in language. The "Pilot" vs. the "Mentor" Problem The real issue with traditional AI tools is that they write instead of you. They take the controls, replace your voice entirely, and fly the plane. Your brain gets zero mental engagement, and you learn absolutely nothing ... ... thinking like this actually degrades your independent writing skills. I didn't want an AI that replaces my words. I wanted an AI Coach and Mentor. A tool where you do the writing, but the AI actively guides you, refines

... rest of the organization treats it as optional. The fix is simple and non-negotiable: Test every new niche or angle with 3 5 varied attempts using different messages or entry points. One clear positive signal? Keep pushing and refine. Consistent silence or weak replies across the board? Kill it cleanly and reallocate the effort immediately. Some of the best-performing accounts turn out to be unexpected teams that weren t on the original target list but had urgent, well ... ... product, clean UI, and even solid distribution tactics get copied. Clones appear faster than most teams expect. What separates the ones that keep pulling ahead is execution speed: how quickly you test new angles, kill what isn t working, refine

... live on PH Aug 22, so this thread's been good practice at saying it in one paragraph.) Comment from Demetrio Koro(@aktivist): siOsi upload one selfie and it reads your 12-season color type, undertone, gold vs silver, and which hair colors suit you, then grades the actual makeup in the photo (flash cast, oxidation, coverage), which most tools skip. Free, no signup. Built it because every beauty sub has a queue of "what season am I" posts waiting ... ... Gemini, since more buying decisions now start there instead of traditional search. If you want to see how an AI agent currently reads your own site, we put out a free tool that shows what an AI fetches vs

... sarwar10): My go-to tools Keynada A project I recently built to add calming, meditative typing sounds to my workflow, making coding sessions more enjoyable than standard keyboard clicks. VS Code My primary editor for writing, debugging, and maintaining code every day. Claude & ChatGPT Useful for brainstorming ideas, refining

... galdayan): our setup ended up being a Slack webhook per agent session, posted to a channel only that agent writes to. sounds basic but the key part was making the notification say WHY it's waiting (needs approval vs finished vs

... previous step. 3. **Data Privacy**: Reluctance to upload proprietary codebase directories or idea drafts to external databases. That s why I built SoloMap: a **local-first AI roadmap and agent task coordinator** that lives entirely inside VS Code. ### How it works: 1. **Initialize**: Run the extension, choose a project folder, and SoloMap creates a starter roadmap node. 2. **Generate & Refine

... know what to fix. Your code is broken, but you don't know what's wrong. You write specs that should take minutes, but end up taking hours SpecWise AI does all this in seconds. Refinement Hub: Paste messy user feedback or bad reviews get a clear actionable spec to improve your product. Stop guessing what your users really want. Code Assistance: Paste broken code SpecWise generates an accurate specification to fix the exact problem. Give it directly to your ...

... outputs work and look okay, they still feel more like Tailwind UI starter templates than custom designs. Key takeaways Neither output would be ready to ship at first shot. Both would require more work to fix the details, refine spacing, and polish components. Claude Opus 4.7 shows better understanding of typography, color, spacing, and UI details. The per-token pricing suggests GPT-5.5 is the most expensive model ($30 per 1M output tokens vs

... structured way to organize your core prompts as reusable workflows. Examples of what you can now do: Tag and organize prompts by use case Save repeatable workflows (aka prompts) Share prompts via public links Share with teams Continuously refine over time Think less saved text , more building blocks for work New Prompt History A complete log of prompts across every LLM. Revisit past prompts anytime Reuse them Refine

... Phia is now Dina. Over the past 3 months, we ve been quietly rebuilding everything from the ground up. Not just features but the way ideas are shaped, refined, and presented. And today, it s ready. Here's what's new: A completely reimagined product Every screen redesigned. Faster, smoother, and built for flow. AI-powered transcription editing Edit videos like text. Cut, refine

... ended up shipping 11 updates in 7 days . ( Here's the video if you don't want to read.) - Pro Trial: 1 day 3 days (new experiment) - New Improve Prompt: one clean textbox. Type + Context. In Web App - Improve Refine: every improved prompt lands in Refine

... been heads down improving Auto CV and this update is a big one. A while ago, I shared the initial version of Auto CV. Since then, I ve focused on refining the core experience and building features that actually help users move faster in their job search. What s new? 1. Complete UI/UX overhaul The entire interface has been redesigned with simplicity and clarity in mind. Cleaner, more focused CV builder Faster navigation between steps Improved readability and structure Better ... ... search optimizer What s next? Smarter job matching (better keyword + experience alignment) Deeper ATS feedback integration into job recommendations More automation across the job application flow If you tried Auto CV before, this is a much more refined

... have released Invoke v0.10.20, which introduces several workflow improvements and UI refinements. Here is a summary of what is included in this release. Added User-Defined Slash Commands You can now create custom slash commands by adding markdown files to your .invoke/commands/ directory. This allows you to define reusable prompts and workflows tailored to your project. Thinking Effort Controls New textarea controls have been added to adjust the AI thinking effort level across all supported providers. Improved Grep Tool ... ... grep tool interface has been updated with unified file icons for better visual consistency. Model Menus Textarea mode and model selection menus have been refined

... spaced repetition apps are designed by power users for power users. They've lost sight of the actual goal: remembering things. MemoRep is different. It was built on one insight: simplicity beats complexity every time. The Problem: Feature Creep vs. Memory Retention Take a step back. Why do you want to use spaced repetition? To remember languages To retain programming concepts To master music theory To ace exams To keep professional skills sharp What's common to all these goals ... ... memory is gone. An imperfect card you create in 30 seconds is infinitely better than a perfect card you never create. Spaced repetition works even with simple cards. The algorithm adjusts. You can improve it later. Create now, refine

... Coresignal Data Search lets you build B2B data lists using natural language and easily query multi-source company, employee, and jobs data. Just describe what you need, and the AI agent generates a structured lead list you can preview, refine, and download instantly. Here's how it actually works: Prompt Describe your ideal leads, companies, or research targets in plain English Preview Get 100 top-matching records instantly, with real-time refinement

... repayment schedules and automated reminders. The goal is to remove the awkwardness of chasing money and create accountability around repayments. We ve built the MVP and validated demand through surveys and early feedback. Right now I m focusing on refining the B2B version of Promise so businesses can use it as a flexible invoicing and instalment payment tool. I d love feedback on: The product positioning The B2B invoicing / instalment use case Go to market strategies for early users Potential ... ... protection rather than relying on vague terms of service. At the moment the user agreement outlines the structure of the Promise, the responsibilities of both parties, and how repayment schedules are recorded and acknowledged digitally, but we are actively refining