Toolspool.ai

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👁 31K/mo

Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

5.2K
👁 21K/mo
👁 52K/mo
👁 3.0K/mo6.3K
Pricing
Forever Free: $0
Basic: $19
Professional: $49
Agency: $149

No public pricing

DEVELOPER: FREE
STARTER: $119 / month
GROWTH: $599 / month
ENTERPRISE: Starting at $1,800 / month
Open Source: $0
Free: $0
Premium: $10/contributor
Free: Free
Pro: $20/month
Team: Custom
Core features
  • TinyForms: Build smart forms with customized APIs, real-time logic, and dynamic APIs.
  • TinyWorkflows: Create no-code automations with a visual drag-and-drop builder, human-in-loop capabilities, and AI assistance.
  • TinyTables: Manage, analyze, and visualize data with live sync, built-in AI enrichment, and smart insights.
  • TinyEmails: Create and send personalized emails directly from workflows with AI-crafted messages and data-driven timing.
  • TinyAgents: Deploy specialized AI agents for research, qualification, or enrichment tasks, with prebuilt expertise and customizable logic.
  • Fast tensor operations
  • Differentiable tensors for gradient-based optimization
  • Network connectivity
  • Integration with Bun and Flashlight
  • Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
  • Developer-first platform for AI-powered integrations
  • Secure, isolated sandboxes for running JavaScript/Python code
  • Automatic management of npm/PyPI dependencies
  • Built-in platform plumbing: secrets, webhooks, scheduling, logs, and audit
  • Yep Agent (prompt → runnable processes)
  • MCP Server/Tools (convert code into AI agent tools)
  • Serverless runtime (YepCode Run) and SDK access
  • Data-driven Performance Reviews
  • AI-Powered Retrospective Insights
  • Contribution and Work Quality Analytics
  • Operational Bottleneck Alerts
  • Gamification (XP, Levels, Achievements, Leaderboard)
  • Automated browser tests for every PR
  • Zero-config AI-powered testing
  • Easy GitHub integration and fully managed infrastructure
  • AI-powered application understanding (knowledge graph, user flows)
  • GitHub-native experience with inline test results and comments
  • Secure remote management with encrypted tunnels
Use cases
  • Lead Management: Automate lead capture, enrichment, and CRM syncing to turn form fills into qualified prospects.
  • Sales Pipeline: Automate handoffs and streamline sales processes for efficiency.
  • Marketing Campaigns: Boost marketing campaign impact through automation.
  • Recruitment Flow: Automate hiring and onboarding by collecting applications, shortlisting with AI, and notifying teams.
  • Community Flow: Manage community onboarding, approvals, and communication on platforms like Telegram.
  • Campaign Flow: Streamline voucher availing journeys, rewards, and coupon redemptions with full automation.
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Building complex API integrations that require custom code and logic beyond what no-code tools offer.
  • Safely running AI-generated scripts in isolated environments with secrets management.
  • Automating workflows that require large datasets, loops, branching, or custom dependencies.
  • Connecting AI agents to external databases, APIs, and services using MCP tools.
  • Optimize engineering processes and track team performance.
  • Empower teams with actionable insights and gamified motivation.
  • Gain 360-degree visibility into engineering team performance for data-driven decisions.
  • Acquire, reactivate, and engage open-source contributors.
  • Catching regressions in critical user flows (e.g., auth, forms, checkout) before deployment.
  • Ensuring code changes are solid and functional before merging pull requests.
  • Automating end-to-end testing for every commit to maintain code quality.
  • Reducing manual testing efforts and accelerating PR review cycles.
  • Providing confidence that shipped code actually works as intended.
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