
Yeeyo - Logiciel de gestion tout-en-un pour points de vente et PME
Manage your retail, restaurant, or pharmacy with integrated point-of-sale and business operations software.
@Biacode03 · X
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Manage your retail, restaurant, or pharmacy with integrated point-of-sale and business operations software.
@Biacode03 · X

One link to manage deals from pitch to payment: book meetings, sign contracts, get paid.
@abhinav__dubey · X
Heyy Yooo! Building one link that helps SMBs go from first pitch to fully paid process, no juggling four tools to get there.

Collect feature requests, let users vote, and publish your roadmap updates.
@TimoBuilds_ · X
building up to leading SaaS for solo-founders to close the feedback-loop to their customers what are you building rn?

Free website security scanner checking SSL, headers, and compliance for instant trust scores and AI-guided fixes.
@MrPenetratorTP · X
MrPenetrator helps businesses monitor their website’s trust, security and performance before problems affect their visitors.

Monitor Core Web Vitals and measure how slowdowns impact your revenue.
@AuditJet · X

@CricTalk29 https://t.co/wWE5v5hcRl
@arush_shar17296 · X

Add persistent memory and knowledge to AI agents with drop-in files, URLs, and native MCP integration.
kitforai · GitHub
kitforai Kit for AI developer hub — official SDK, Claude Code plugin, MCP setup, and llms.txt.

Manage academic conferences: submit and review papers, handle scheduling and registration.
@harryjwang · X
I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age

All-in-one platform for managing service jobs, customers, scheduling, invoices and payments.
@seb_klopfer · X

AI operating system for managing revenue, leads, and business automation.
@AevumAIHQ · X
Your new business center

Manage API keys and usage budgets for coding-agent workflows with request routing.
u/Zyron_X · Reddit
I built a service for people to use Codex API without 5-hour limit disruption I built a small service for people who use the OpenAI Codex API regularly and want more predictable usage without the 5-hour or weekly limits. It currently provides: Frontier OpenAI models (GPT 5.6 family included) Managed API key Monthly usage budgets depending to plan No 5-hour limit No weekly limit Under the hood, it is built on top of an open-source project and proxies requests to

Manage service business invoicing, clients, estimates, jobs, routes, suppliers, and collections in one platform.
@joelromanpr · X
para todos los microempresarios en el Caribe y latinoamerica. Also available in English