SUBSCRIPTION

The Problem (Pain Level: 8/10) “What did I do this week?” - This question haunts every developer when it’s time to write status reports. Current pain points: Time waste: Manually checking Jira, GitHub, Slack, Linear, Notion to compile updates Missing items: Busy weeks mean important work gets left out of reports Inconsistent formats: Each team member uses different reporting styles Context switching: Jumping between multiple tools to gather information Weekly repetition: 2-4 hours of manual work every single week Real example: ...

The Problem (Pain Level: 8/10) “What’s for dinner?” - This daily question becomes a significant mental load for families. Current problems: Decision fatigue: Exhaustion from daily meal decisions Nutritional imbalance: Defaulting to quick and easy options Food waste: Shopping without a plan leads to unused ingredients Time consumption: Searching recipes, making shopping lists Discovered on Reddit: “I built an AI to handle the ‘what’s for dinner?’ mental load for families” ...

The Problem (Pain Level: 8/10) “I’ll start exercising tomorrow”, “I’ll definitely go to bed early tonight” - Do you make these promises every day and break them just as often? Problems with existing habit tracking apps: Simple checklists: Just check and done, no real accountability Self-deception allowed: You can check even if you didn’t actually do it Lack of motivation: No consequences when streaks break Vulnerable to single failures: “Already failed, might as well give up” mentality A developer on Reddit r/SideProject shared: “I built an iOS app for myself because I kept lying to myself.” ...

Problem (Pain Level: 8/10) “I want to use my API with Claude or Cursor, but I need to build an MCP server from scratch?” - A new barrier every API developer faces in the AI agent era. Current pain points: Manual Work: Even with OpenAPI specs, you must develop MCP servers separately Learning Curve: Time spent learning MCP protocol and SDK usage Deployment Complexity: Hosting and registry registration require separate steps Maintenance Burden: Manual sync when APIs change Fragmented Ecosystem: Tools like Specli (local CLI) and Mpak (package management) are disconnected Target Market Primary Target: API-owning companies, SaaS startups, AI agent developers ...

The Problem (Pain Level: 8/10) “The AI agent sent emails, deleted files, and processed payments automatically… without any confirmation” - A new nightmare for companies adopting AI agents. Current pain points: Loss of control: AI agents executing critical operations without approval No audit trail: Can’t trace which tools an agent called and why No rollback: Can’t undo dangerous operations already executed Compliance violations: Automation without human review causes regulatory issues Trust barrier: Psychological reluctance to deploy agents in critical workflows Target Market Primary Target: Companies adopting AI agents, SaaS startups, enterprise IT teams ...

The Problem: “Stealing” Infrastructure Code from Old Projects (Pain Level: 8/10) A developer confessed on Reddit: “I got tired of stealing infrastructure code from my own old projects” Every developer relates to this: Copying Docker configs from previous projects when starting new ones Rewriting GitHub Actions workflows each time Copy-pasting Terraform/Pulumi settings between projects Debugging because copied code doesn’t match latest versions Constantly searching “how did I do this last year?” Core Pain: ...

The Problem (Pain Level: 8/10) “I joined a new company and it took months to understand the million-line legacy codebase.” Large codebases are hard to grasp. Documentation is outdated, architecture is complex, and even finding “where this function is called from” takes time. Target Market - TAM $6.41B → $13.70B (2030) Developers working with legacy code Developers joining new teams Code reviewers and architects Open source contributors Software Development Tools Market is expected to grow from $6.41B (2025) to $13.70B (2030) at CAGR 16.4%. ...