Frequently asked questions
Straight answers about what Market-It does, who it's for, what it costs, and the rules we won't break.
- What is Market-It?
- Market-It is a distribution-as-a-service product for indie builders, vibe coders, and small founders. You get a free landing page audit, a 14-day Visibility Sprint across channels you pick, and a Distribution Scorecard that labels what actually drove signups — Verified, Likely, Assisted, Signal-only, or None.
- Who is Market-It for?
- Solo founders or 2-person teams who shipped a product using Cursor, Bolt, Lovable, v0, or Replit and now need distribution, not more product. Indie hackers with $0–$5K MRR. Founders comfortable approving daily content drafts — we don't autopost. Global ICP, English-first, USD pricing.
- Who is Market-It NOT for?
- Companies above $5K MRR with real marketing budgets — those should hire MarketerHire, Mayple, or a fractional CMO. Anyone who wants content posted automatically without review. Anyone running mass cold email (we reject the Apollo blast model). Products with broken landing pages — the audit will say 'Fix First' before we'll build you a sprint.
- How much does Market-It cost?
- Free forever for the landing page audit and top channel recommendations. $49 one-time for the manual 14-day Visibility Sprint with 24-hour delivery. $39/mo or $299 lifetime for the self-serve Builder tier (lifetime capped at first 500 customers). $149/mo for the Pro tier with managed-lite ad setup and Clay/Lemlist/Apollo ops (capped at first 25 customers during MVP).
- How is Market-It different from FounderPal?
- FounderPal generates marketing artifacts — 26+ AI tools that produce strategy docs and copy. Market-It runs the actual distribution. The sprint includes founder-voice scripts, launch packs, ad briefs, and outbound workflows that ship over 14 days, not a folder of templates.
- How is Market-It different from BlogBurst?
- BlogBurst is perpetual content — an ongoing content engine. Market-It is launch-sprint specialist with honest attribution. We focus on the 14 days where channel choice and timing matter most, and we tell you which channel actually drove the signups via confidence-labeled attribution.
- How is Market-It different from Hypefury and Taplio?
- Hypefury is X-only scheduling and engagement. Taplio is LinkedIn-only AI growth. Market-It coordinates across the 20 channels in our catalog — X, LinkedIn, Reddit, Product Hunt, Hacker News, Discord, WhatsApp, SEO, paid ads, outbound, and 10 more. Single workflow, multi-channel.
- Does Market-It autopost?
- No. Every public post requires founder approval before it goes out. We generate drafts in your voice, you review them, and you approve what ships. This is a deliberate constraint, not a missing feature — autoposting from AI is how brands tank their credibility.
- Does Market-It float ad spend for paid campaigns?
- No. When Market-It runs paid ads for customers, the customer always owns the ad account and pays Meta / Google / TikTok / LinkedIn directly. We never put ad spend on our card. This is a hard policy, not a default that can be flipped.
- How does Market-It claim a channel actually worked?
- Every attribution row in the Distribution Scorecard carries a confidence label. Verified means we have a UTM tag and a conversion event. Likely means the session path strongly suggests the channel drove it. Assisted means the channel touched the user but didn't directly convert. Signal-only means engagement without conversion. No signal means we shipped and got no measurable response. We never claim a channel worked unless the label is Verified or Likely.
- What technology powers Market-It?
- Audit model is GPT-4o (OpenAI). URL scraping is Firecrawl. Frontend is Next.js 16 on Vercel. Database is Supabase Postgres with pgvector. Payments are Stripe. Analytics is PostHog.
- Who built Market-It?
- Built by Hemanth, an Indian founder shipping globally. US Delaware corporation with Indian engineering. Bootstrapped, building in public on X. The whole stack is open metrics — see /open for live numbers.
Still have questions? The LLM info page has comparison tables vs. every alternative and exact citation language for AI assistants. The Product page walks through the audit → sprint → scorecard loop in detail.