io.github.sean0007/free-agent-tools

Tools

• ads_policy_notice_risk_check

  Paste the text of a Google Ads, AdSense, Merchant Center, or Meta (Facebook/Instagram) ads suspension, disapproval, or policy notice. Returns HIGH / MED / LOW risk, the platform, the policy phrases found with plain-language explanations, and a next-step checklist. Heuristic only; never suggests replacement accounts or files appeals.

  shallow
• ai_bottleneck_quiz

  Without answers, returns the five quiz questions with options. With answers (one slug per question from: compute, memory, optics, power, space, servers), returns the most constrained bottleneck.

  shallow
• ai_infrastructure_bottlenecks

  Explains the physical constraints on the AI buildout beyond chips: compute, memory (HBM), optics, power, space (sites, backhaul), and servers (racks, cooling). Omit slug for all six. Includes example public companies often cited in discussion; these are not investment picks.

  shallow
• app_store_wrapper_precheck

  For Capacitor, WebView, PWA-shell, React Native, or AI-generated iOS apps: scores rejection risk under Guideline 4.2 (minimum functionality / web wrapper), 4.3 (spam / clone), and metadata, with reasons and how native each feature reads. Not legal advice; Apple decides.

  shallow
• email_list_reactivation_value

  Estimates buyers and revenue from one offer to past customers in low / mid / high scenarios, with an optional partner revenue share.

  shallow
• faceless_youtube_reality_check

  Seven multiple-choice answers about a faceless or AI YouTube channel plan. Returns HIGH / MED / LOW expectation and monetization-policy risk with signals and myths to drop. Pushes back on viral '$10k/month with AI YouTube' claims. Not a ban prediction.

  shallow
• hotel_ota_commission_calculator

  For hotels, ryokan, guesthouses, and B&Bs: yearly room revenue, commission paid to OTAs (Booking.com, Expedia, Agoda...), commission as a share of revenue (HIGH / MED / LOW), and net savings from moving a share of OTA bookings to direct. Any currency.

  shallow
• japan_trip_options

  Lists supported Japanese cities (with regions, peak months, and stay areas), months with season and crowd level, and traveler types for japan_trip_plan.

  shallow
• japan_trip_plan

  Where to stay, festivals and seasonal highlights, things to do, crowd level, weather, and warnings (Golden Week, Obon, rainy season, typhoons, New Year closures) for a Japanese city in a given month, with stay areas ranked for the traveler type and booking search links. Typical seasonal patterns, not live data.

  shallow
• list_open_source_saas_alternatives

  Lists every covered paid tool (Mixpanel, Semrush, FreshBooks, Calendly, Chargebee, Typeform, Pipedrive/HubSpot, GoHighLevel, Intercom/Zendesk) with its open-source swap, GitHub repo, license, setup effort, and main catch.

  shallow
• price_headroom_check

  Is the business underpriced? Uses sales close rate (80%+ = way underpriced, ~30% = about right, under 25% = sales problem) to suggest a price range, and computes the profit multiple of a price rise after losing some customers, plus the break-even customer loss.

  shallow
• saas_self_host_savings

  Give monthly spend per paid tool (ids: mixpanel, semrush, freshbooks, calendly, chargebee, typeform, pipedrive, gohighlevel, intercom). Returns the open-source swap for each (repo, license, caveat), yearly savings after hosting, setup hours and cost, break-even months, and a SWITCH / MAYBE / KEEP verdict.

  shallow
• score_business_idea_moat

  Score a business idea on Margin, Operations, Advantage, and TAM (1-10 each). 30+ = FUND IT, 20-29 = FIX IT, under 20 = FLEE IT. Returns the weakest factor, how to fix it, and red flags from pain / money / willingness-to-suffer checks. Educational rule of thumb, not financial advice.

  shallow
• thirty_day_cash_check

  Compares cash collected in a new customer's first 30 days with acquisition cost plus 30-day cost to serve. 2x+ = SELF-FUNDING, 1-2x = BREAK-EVEN, under 1x = CASH-HUNGRY. Returns the gap to 2x and tips.

  shallow
• viral_attention_patterns

  Patterns of how attention spreads (TikTok sound reuse, X quote-post piles, stitch chains, group-chat forwards, and more), each with the signal to watch and the lesson. Optional platform filter. Educational; attention is not an investment signal.

  shallow
• viral_attention_quiz

  Without answers, returns six questions. With answers (one of chaser, inventor, reader per question), returns the user's tilt with a short explanation.

  shallow

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