Finance & Business2 weeks ago
R&D Tax Credits — US, Canada, UAE, UK & Australia | AutoDoc
AI-powered platform helping companies document and calculate eligible R&D tax credits.
@tahakhawaja_ · X
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AI-powered platform helping companies document and calculate eligible R&D tax credits.
@tahakhawaja_ · X
Event management platform with AI face check-in, smart recommendations, and WhatsApp updates for attendees.
@AbhinavtejR · X
Scan AI prompts and endpoints for vulnerabilities, then monitor LLMs in production for security and compliance.
@CognisafeUK · X
AI assistant that answers team questions from shared context with sources.
@nav_ux · X
Get your whole team's AI on the same page.
Download gradients, animated backgrounds, and AI-generated textures for your designs.
@basit_designs · X
Not a startup. A product
Run cold email campaigns with multi-inbox sending, reply detection, and meeting tracking.
@sendmatico · X
SendMatico helps founders, agencies, and outbound teams run cold email campaigns with multi-inbox sending, follow-ups, reply detection, and deliverability tools.
Create disposable inboxes via API to capture emails and OTPs for test automation.
@MailFixture · X
AI tool that automates SEO content creation to grow organic traffic.
@st0yanov · X
Set of design tools that integrate with your other software.
@aviralgarg05 · X
Here's what you get on One toolkit. Every design task.
Capture UI elements with code context and screenshots to share with AI agents for debugging visual bugs.
Loerei · HN
I found that describing where a broken UI is and taking screenshots for AI agents really sucks. I’m too lazy to explain an indescribable visual bug or capture a millisecond-long flash. I also don’t want to remember which file defines an element, whether it's right in the .tsx or a problem with the Parent Styles in .css. And even if you can point out the exact file, your agent still has to dig through thousands of lines of code to know what on earth you're yapping about. In a 7700-file monorepo like Cal.com, simply giving the right file in the prompt for your agent saves about 68.9% of execution time and 94.2% of the tokens your agent needs to digest. HoverSource gives all the needed information and further pushes it to -88.5% time and -94.5% tokens, basically skipping the entire digging session and jumping straight to reasoning and executing. The save is linear to how big your codebase is. I want to save tokens, but don’t want to spend my time and energy digging manually, and a junio
Generate real estate listings, follow-up emails, and social captions instantly.
u/ciril10 · Reddit
I built an AI tool that writes real estate listings in 30 seconds / looking for honest feedback Hey everyone, solo founder here, based in Bulgaria. I kept hearing the same complaint from real estate agents: writing a good listing description takes 20-30 minutes, and then you have to do it again for the follow-up emails, the open house invite, and the social captions. Same property, four different pieces of copy, every single time. So I built ListFlow . You enter the property details once
