With Android coming next, Filo will work across iOS, macOS, Windows, and Android, with the same workflow and the same brain everywhere you open your inbox.
Our north star is still the same: Never miss what matters.
Not by throwing more notifications at you, but by making sure the important things naturally rise to the top, while the noise stays out of your way.
20,000 users. Just in time for the new year It s not a finish line. Just another step. If you used Pretty Prompt even once this year, this one s yours too.
I can't believe we got here in just 7 months, all from that first PH launch... Tonight, it s a glass of Malbec and family time. Short pause to close 2025. Then back to building.
Hey everyone we just launched the LLM Chat Scraper series. If you need large-scale LLM Q&A data that reflects the actual responses users see in the web UI, this might help:
Supports ChatGPT, Perplexity, Copilot, Gemini, Google AI Mode
Captures front-end (web UI) responses unaffected by logged-in context/state
Web search support included so you get full citation data when the model references sources
We only bill for successful captures; failed/error requests are not charged
DM or comment if you want free credits to try it out
Use cases: dataset creation, model evaluation, R&D on hallucination/source tracing, trend & sentiment monitoring, prompt engineering corpora.
Happy to answer questions or share sample outputs. Leave a comment or DM for trial credits.
A few weeks ago, Swytchcode launched on Product Hunt and became the #1 Product of the Day.
The launch was exciting, but what happened after has been even more interesting. As we close out the year, here's a quick and honest update on what post-launch life looks like for us and where we're headed next.
You just finished a brainstorm session. The whiteboard is covered in boxes, arrows, and brilliant ideas. Now what? Redraw it all in Figma? Spend an hour translating it to a prototype? With TypMo's Image-to-IA feature, you can snap a photo and get a working wireframe in under a minute. The AI recognizes common wireframe conventions: an X in a box becomes an image placeholder, circles become avatars, rows of lines become tables. Write "Search" next to a rectangle and it becomes a search bar. Your napkin sketch becomes a clickable prototype before your coffee gets cold. Check this 20 second Sketch to Wireframe video Tips for Better Imports
Use high contrast Black marker on white paper works best. Faded dry-erase markers confuse the AI.
Label your components Write "Logo", "Search", or "Button" next to your drawings. The AI reads your handwriting.
Photograph straight-on Avoid angles that distort proportions. Good lighting reduces shadows.
Show structure clearly Draw lines to separate Header, Main, and Footer areas. Group related items with boxes.
Start simple Import the core layout first, then add details in the editor. Lets go!!!
I keep running into the same pattern with AI coding tools: I type a quick starter prompt, get something that looks promising for a moment, and then, inevitably, it collapses into messy code and outputs I never wanted in the first place.
I ve seen this happen to others too. The tool isn t the problem. The problem is the prompt. Or rather, the lack of structure, clarity, and intention behind it.
So I m curious:
How do you plan your prompts when working with AI for code generation? How much context and detail do you include up front? Do you start small and iterate, or do you specify the entire mental model before generating anything? What habits or prompting frameworks have actually helped you get clean, reliable code?
