Upload anything. Get strategic advice.

Turn messy business inputs into clear next moves.

Upload reports, screenshots, pitch decks, documents, or URLs. Add a short summary of what you actually want. The system extracts signal, spots weaknesses, and returns executive-level, actionable recommendations.

Any input Reports, screenshots, websites, PDFs, docs, and notes in one workflow.
Clear output Executive summary, key findings, risks, opportunities, and action plan.
Built to convert Free entry point with obvious upgrade paths for heavier analysis.
Uploaded context
Q1 Marketing Report.pdf Landing Page Screenshot.png competitor-site.com
Detected signals
Output

Primary issue: traffic quality is acceptable, but the landing page offer is weak and trust cues are missing.

Next step: tighten the headline, show proof above the fold, and simplify the call-to-action into one decision.

What this product actually does

Not generic chatbot fluff. It’s a structured intake plus analysis engine designed to turn scattered business context into a prioritized action plan.

1

Collect context

Users upload files, paste URLs, and explain their objective in plain English. The structured prompt removes ambiguity.

2

Find the signal

The system extracts themes, patterns, friction points, and opportunities across mixed input types.

3

Return a decision-ready output

Users get an executive summary, high-level insights, and concrete next actions tied to their stated goal.

πŸ“Š

Reports

Marketing reports, spreadsheets, performance exports, campaign summaries.

πŸ–ΌοΈ

Screenshots

Landing pages, dashboards, ads, funnels, product pages, analytics snapshots.

🌐

URLs & websites

Competitor sites, your own site, signup flows, content pages, offer pages.

🧠

Decision support

Strategy recommendations, prioritization, and immediate next steps that a human can actually use.

Turn messy business inputs into clear next moves.

Upload your campaign exports, search terms, landing-page data, screenshots, and reference URLs. The goal is operator-level diagnosis: where spend is being wasted, what to cut, what to scale, what to fix first, and what to validate next.

Upload any report

Add reports, screenshots, exports, decks, PDFs, or docs. You can build an attachment set of up to 10 files, including one-by-one additions across multiple picks.

0 / 10 attached
Tip: add up to 10 files. If your browser only lets you pick one at a time, just keep adding them β€” this version now accumulates them.
Analyzing your uploaded context...

Awaiting input

Fill in the form, upload a few files, and hit Generate analysis. The demo will produce a realistic sample output so you can judge the UX, structure, and commercial direction.

This local MVP is meant to validate the front-end concept fast. It’s intentionally fake on the analysis side and real on the product/UX side.
Free 1 lightweight analysis/day
Pro deep reviews + exports
Agency client-ready deliverables

Initial pay model

Free gets people in. Paid captures serious users. This version uses a simple ladder that makes sense for founders, marketers, and agencies.

Free

$0/ forever
  • 1 quick analysis per day
  • Limited uploads and file sizes
  • Short summary output
  • No exports or saved history

Agency

$99/ month
  • 100 analyses per month
  • White-label client reports
  • Collaboration and reusable templates
  • Multi-project workspace
  • Extra credits for large jobs

FAQ / founder notes

The main risk is being too broad too early. The main opportunity is making the output feel sharper than generic AI chat.

What should the real v1 focus on?

Start with one wedge: marketing audits, conversion reviews, or growth strategy. Keep backend flexible, but keep positioning narrow.

What makes this monetizable?

People pay for saved time and sharper decisions. The more the output looks like senior operator advice, the easier the sale.

What should be added next?

User accounts, upload persistence, real parsing, report export, and a backend orchestration layer for multi-step analysis.

Who buys first?

Agencies, founders, consultants, and ecommerce operators. They already live in messy data and feel the pain immediately.