The tech lead who already owns the architecture
Engineering-led product teams with a defined plan, adding senior delivery capacity rather than direction.
What they want: Design templates, per-tenant MCP server containers and smooth streaming map annotations that slot into a locked stack.
Still unsolved for them
- Need for high-quality design templates
- Per-tenant MCP server containers with runtime credential injection
- Streaming map annotations must stay smooth at scale
The RevOps lead who refuses to rebuild the CRM
Sales-led mid-market operators with working CRM infrastructure, buying configuration and automation on top of it.
What they want: Lead routing and follow-up automations, approval dashboards, and root-cause diagnosis across leads, config and dialing.
Still unsolved for them
- Diagnose root cause across lead quality, config, dialing, behavior
- Build lead routing, follow-up, and task automations
- Internal approval dashboard before CRM execution
The product team with engineers but no designer
Teams with shipped software and in-house engineering but no design bench, embedding senior UI/UX help beside squads.
What they want: Figma-based redesigns and responsive layouts that turn requirements into clear, intuitive interfaces.
Still unsolved for them
- Translate requirements into clear intuitive layouts
- Figma-based UI redesign for website and web app
- Responsive, intuitive UX/UI implementation
The live-product team riding release peaks
Established teams with an active codebase that scale engineering capacity up and down around release commitments.
What they want: Scalable full-stack architecture and AI-integrated web apps delivered without adding permanent headcount.
Still unsolved for them
- Design scalable web application architecture across full stack
- Design and implement robust, scalable architecture solutions
- Build scalable web applications integrating AI models
The pre-scale founder testing a concept on a budget
Early-traction or pre-revenue founders buying narrowly scoped work to validate a product before building a team.
What they want: Cheap proof points: lower CAC, better conversion, AI-assisted reporting workflows, or working smart contracts.
Still unsolved for them
- AI-assisted workflows for reporting and patrol verification
- Needs to lower CAC and improve conversion rates
- Write, test, and deploy smart contracts for minting and payments
The technical lead buying one precise deliverable
Engineering-led companies that frame the problem internally and buy senior expertise against defined acceptance criteria.
What they want: Narrow outputs with clear acceptance tests, like file-returning JSON APIs, usable 3D interfaces and measurable accuracy.
Still unsolved for them
- JSON request/response API returning files and processing report
- Technical 3D interface hard to understand and use
- Define measurable accuracy against representative documents