Go to section
Spotlight
SureThing.io - "OpenClaw" for BeginnersTask automation
Mini tools
New
Featured
Lists
Agents
Requests
Jobs
Map
Newsletter
Starter pack
Free tools
Speech to text
Text translator
Remove background
Settings
Edit profile
My tools
Gallery
Dashboard
Inbox
Get featured
Contact TAAFT
For you
Popular
Job impact index
Most saved
Affiliate program
Submit AI tool
Notification preferences
Glossary
Home
Timeline
My profile
Create tool
Deals
Companies
Models
Robots
Papers
Fundraises
Devices
Organizations
Events
Prompt Pack
Merchendise
APIs
Features
Tools
Countries
Collections
Videos
News
Investors
Repositories
Open source
Featured matches
-
Open
-
Jash🛠️ 1 tool 🙏 3 karmaMay 18, 2026@TryApplyNowHey everyone, I’m the founder of TryApplyNow. It helps job seekers apply faster with AI resume matching, ATS scoring, resume tailoring, recruiter contact discovery, application tracking, and a Chrome extension for faster job applications. We’re improving the product every day and would love feedback from real users. If you’re job hunting, try it out and leave a genuine review. Tell us what helped, what felt confusing, and what you’d like us to improve. Every review helps us build a better product for job seekers 🙏 -
-
-
Enterprise-grade open-source AI inference at unlimited scale.Open
-
-
One-click OpenClaw setup with AI inference included, no token capOpen
Awesome idea to have a unlimited token plan tied directly to a managed opnclaw instance. A little bit tricky to get setup without CLi access. but seems to work well once you get past that! -
-
Building multi-agent AI systems shouldn’t require wrestling with messy Python boilerplate, cloud subscription or complex local setups. I built AgentSwarms (AgentSwarms.fyi) to solve this. It’s an interactive, in-browser visual sandbox for learning, building, testing, and orchestrating multi-agent AI workflows. Instead of relying on a single AI chatbot that easily hallucinates, AgentSwarms lets you drag and drop specialized AI agents—like data extractors, code reviewers, and SQL query nodes—to handle complex tasks reliably. Key features for builders: Visual Edge Tracing: Stop guessing why your AI failed. Click any connection line to see the exact JSON data passing between agents in real-time. In-Browser Execution: Powered by local DuckDB WASM. No backend setup required. Enterprise Templates: Test reverse-engineered Agenitic AI architectures for Cybersecurity, Finance, and E-commerce and 10+ industries right on the canvas. If you are tired of black-box AI debugging and want to master Agentic AI orchestration visually, come try the sandbox for free! Let me know what you think of the new execution history features. 🚀 -
Canopy API v2: Faster Amazon data, lower high-volume pricing, and MCP support
Canopy API v2 is live. This release is focused on three things: speed, reliability, and making Amazon product data dead simple to plug into AI agents.
-
MCP server for AI agents. Canopy now ships a native MCP integration alongside our GraphQL and REST APIs. Connect Claude, Cursor, or any MCP-compatible agent to live Amazon product data, search results, pricing, and seller information with a single config entry. No wrapper code, no glue scripts.
-
Three ways to query, one data layer. GraphQL when you want precise, nested queries in a single request. REST with a full OpenAPI 3.1 spec when you want simple, predictable endpoints. MCP when the consumer is an agent instead of an app. All three run on the same infrastructure and return the same normalized product data.
-
Performance improvements. We rearchitected request batching and caching across our edge network. Typical product lookups now return in 200ms at p95, and multi-product queries are dramatically faster thanks to smarter request handling.
-
Data reliability improvements. New retry and validation layers mean fewer empty fields, fewer stale prices, and consistent product schemas across marketplaces. If we return a field, you can trust it.
-
Lower prices at volume. High-volume tiers got a real price cut. Requests beyond 20K per month now cost up to 50% less, and usage-based billing means you only pay for what you actually pull.
Whether you're building price trackers, market research tools, or AI shopping agents, v2 is the fastest way to get structured Amazon data into your product. Start at canopyapi.co.
-
Other tools
-
Intuitive UI with quick insights backed by actionable suggestions.
-
I have seen it on Reddit, surprisingly, it did help me to save 30% in input/output agent tokens, not 60% unfortunately, but for sure better than not using it. Saved way more than I spent on subscription, shame didnt know of 50% discount :)
- SpotlightSureThing.io - "OpenClaw" for BeginnersTask automation
-
-
By far the best test automation platform! I no longer waste hours writing test code—this AI handles everything. When something breaks, I can see it instantly and fix it. My productivity has easily doubled since I started using it!
-
So many SaaS offerings need rethought to be AI/agent first. And the new thinking really start with the simplicity and appropriate costs needed for the "user" being an agent. tny.dev is really a master class in this new thought process. If you need link shortening, it's completely solved here. I've been using it with Claude Desktop, and Claude just "gets" this MCP server, and its free at the relatively infrequent rate I use it. The analytics are awesome and simple to understand. They are the key feature for me.
-
OpenThe best tool for starting your store. No coding, agent-first interaction. - Didn't find the AI you were looking for?
-
-
I love that Shakespeare is totally open source and fully focused on allowing users to build with freedom, rather than just another AI SaaS trying to lock users into a subscription tier. You can use it with any other AI provider, or pay as you go for credits with Shakespeare's default AI. It's really easy to talk to the app, build a first draft, and deploy. I also like how you can edit other open source projects and improve them. Really cool tool for people who want to build with AI but care about open source and freedom.
-
Simulation-based AI agent testing and evaluation that turns unpredictable agents into reliableOpen -
Waitlist
I’m no longer worried about office devices or Wi-Fi being blocked when using AI. With that "AI You Can Text" feature, where Anuma can be accessed via SMS or iMessage, all those problems are gone. Plus, I’m not worried about data security either, because all our interactions stored in the Private Memory are end-to-end encrypted, and the Private Memory itself makes sure we never lose context.
-
Trust scores, cryptographic proof, and risk assessment for AI agents.OpenWe built Mnemom because we were shipping AI agents into production and couldn't answer a basic question: how do you prove this thing is doing what you told it to? Not monitor. Prove. So we built the proof layer. Cryptographic attestations, trust scores, risk assessment, containment — everything you need to deploy agents you can actually stand behind. It's free to start and open source. We'd love to hear what you think - new features shipping daily. -
Free scan: can AI actually read your site, and recommend you?Open- New: live research — we measured 1,000+ businesses against ChatGPT, Claude, Perplexity and Google's AI. Technical SEO barely separates named from ignored (3-pt gap); off-page brand recognition decides it (48-pt gap): areyoufoundbyai.com/research
- Rival share-of-voice: paid reports now measure how often AI names each competitor vs you, per question
- Name-collision detection: we flag when AI credits a namesake brand instead of you, with the disambiguation fix plan
- Markdown for AI agents: the whole site now serves clean Markdown (/llms-full.txt) — self-demonstrating GEO
- Saved-reports dashboard + Google sign-in live on app.areyoufoundbyai.com
