THE PRODUCT ROADMAP
A revenue system that
gets better with evidence.
RevStart’s advantage should be the learning it carries forward: your buyer, your offer, the change you made, and what happened next. Each phase earns its place by improving that loop.
The release includes guided planning, a researched Skills Tech Talk example, and on-demand AI site research gated by sign-in and a configured pilot allowance. Automatic analytics connections, publishing and background agents remain on the roadmap.
01
Founder pilot
Build the learning loop
Available in this release
- Separate guided paths for finding an idea and marketing an existing product
- Zero-user diagnosis with distinct traffic, conversion, pricing, sales, and market-size concerns
- Learn, take action, and measure: a focused plan for the selected challenge
- Nine startup stages with a suggested focus and evidence to look for
- Multi-product workspace and editable business profiles
- A growth dashboard with read-only GA4 imports after Google connection setup
- Product-specific value events, evidence-based next investigations, and implementation briefs
- Traffic source and landing-page reports, comparable periods, and tagged campaign links
- Evidence ledger with source and provenance labels
- Versioned heuristic assessment, RevMap, and three next actions
- Specialist working drafts and exportable agent briefs
- Prepared experiments with selectable goals, outcomes, time costs, and learning
- A researched Skills Tech Talk example with ranked channels, drafts and break-even scenarios
- Authenticated site research with cited channel options when the existing AI account and pilot allowance are configured
02
Deepen the guidance
Make each next choice better
Next · gated by repeated founder use
- Remember rejected niches, chosen offers, and why a decision changed
- Compare three concrete offers by buyer fit, delivery effort, and test design
- Guide outcome capture with keep, change, stop, and inconclusive choices
- Import aggregate analytics and payment CSVs with explicit date ranges
- Reconcile visits → signup → first value → payment → repeat value
- Add Google Search Console and STT-owned aggregate product and paid-outcome contracts
- Track source freshness, funnel definitions, refunds, and cohort eligibility
03
Specialist agents
Produce better work from real context
After a model budget is approved
- Bounded research, distribution, conversion, retention, and ROI runs
- Tool-backed citations, reusable artifacts, and quality evaluations
- Propose landing-page changes and small engineering tasks for review
- Per-run spending limits, cached context, and auditable tool activity
04
Controlled execution
Close the loop across your sites
After measurement and approval controls pass
- Turn approved changes into reviewable GitHub pull requests
- Use OpenThunder execution workflows with a narrow project scope
- Measure adoption and customer outcomes after a release
- Suggest the next experiment from comparable results across a portfolio
05
Productize
Help other builders reach their first sales
After evidence of repeat value
- Validate willingness to pay through founder pilots
- Add team roles, consented integrations, and stronger data portability
- Recommend niche opportunities with traceable research
- Publish measured case studies only with permission and real evidence
A cost discipline, from day one.
Start on existing hosting and PostgreSQL capacity. No new paid service, scheduled worker, or model usage is enabled by the application. Hosting usage still counts toward the existing account’s limits; monitor those limits before opening the pilot more broadly.
Success means a founder can show a completed experiment and a better next decision—not a longer conversation.