Pain Point #1: “I don't have capital to do performance marketing and I'm a builder and designer so I'm not particularly good at marketing… it seems hard.”

Opportunity: A performance-based, creator-led B2B TikTok-to-CRM engine
- You supply a creator network + scripts + editing + posting cadence under the founder’s brand.
- Each video ships with unique UTM, in-video CTA overlay, and a 2-click mini-funnel (TikTok profile link → fast lead capture → auto-trial/Calendly).
- Pricing is pay-per-SQL: $2,500 setup + $150 per Sales Qualified Lead, or $3,000/mo for 30 videos + $100/SQ demo booked.
- You run rapid multivariate testing on hooks, angles, and offers until one wins, then scale posting frequency. Weekly ROI report shows “video → lead → trial → paid” with revenue attribution.

First 10 Customers:
- Head of Growth at B2B SaaS companies with 10–50 employees and ACVs <$5k (self-serve motion)
- Founder/Owner at service businesses selling to businesses (agencies, freelancers platforms, payment tools)
- Marketplace founders in EU hubs (e.g., Berlin) seeking bookings without ad spend
- Solo founders of utility-style web tools (PDF tools, subscription trackers) with < $10k MRR and stalled SEO
- RevOps/Growth at early AI tooling startups needing fast top-of-funnel tests

MVP in 48 Hours:
- Webflow landing page with 1-sentence offer: “30 B2B TikToks in 30 days. Only pay per SQL.”
- Calendly for intake + Airtable to track hooks, UTMs, outcomes; Zapier to pipe leads into HubSpot.
- Recruit 3 UGC creators on Fiverr/Upwork; draft 20 scripts from customer pain quotes; shoot on phones.
- Post daily on client accounts; use Bitly UTMs; manual CRM tagging. Deliver a 14-day pilot to 2 clients.

Justification (infer this in detail):
- Demand: Multiple founders are stuck on growth without ad budgets (“it seems hard”), stalled SEO (“70-80 organic clicks”), but TikTok is unexpectedly converting B2B (“8 new users in 5 hours”). They need a repeatable playbook now, not theory.
- ROI: If a 30-video month at 1,000 views/video yields 30,000 views and just 0.3% click-to-lead = 90 leads. At 20% SQ rate (18 SQLs) and 15% close at $49/mo = $158 ARPU in 90 days LTV ~$320; your cost per SQL at $100–$150 is paid back within weeks for self-serve tools; for higher ACV, ROI is larger and faster.
- Scalable: Script templates, creator marketplace, batch editing, and standardized measurement. Each marginal client is mostly variable creator time; you can onboard dozens and templatize vertical playbooks (payments, PDFs, marketplaces).
- Purple Cow/Controversial: Most agencies sell “content.” You sell “SQLs from TikTok for B2B,” pay-per-result. The contrarian bet is that TikTok is now a serious B2B channel—data in these posts supports it. You ride current algorithmic distribution while others still think it’s “not for B2B.”

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Pain Point #2: “Most delays come from unclear copy and decisions, not the tech.”

Opportunity: Spec Sentinel – an AI “source-of-truth” copilot that auto-writes and enforces PRDs/Tech Specs from Slack/Jira/GitHub
- It listens to Slack threads, Jira tickets, and GitHub PRs, detects ambiguity (“spec debt”), and drafts a PRD and Tech Spec with acceptance criteria, risks, and test plans in Notion/Confluence.
- Before merge, it enforces a checklist gate: “Spec signed? Acceptance criteria covered? Impact area mapped?” Then posts diffs when scope drifts.
- Pricing: $999/month per product squad or $29/user/month org-wide. Optional “SpecOps” service: $3,500 for a 3-week rollout sprint.

First 10 Customers:
- VP Engineering at Seed–Series B startups with 10–60 engineers
- Founding PMs at AI SaaS companies scaling from MVP to multiple teams
- Staff Engineers/EMs at startups where QA/rework is spiking
- CTOs who just hired their second team and feel “tribal knowledge” breaking down

MVP in 48 Hours:
- Slack bot (Bolt.js) that lets you “/draft-prd” on a Jira epic; it ingests the epic + latest Slack thread and GitHub references.
- Use GPT-4o or Claude to output a PRD and Tech Spec; push to Notion via API.
- A simple linter that flags tickets lacking acceptance criteria; post reminders in Slack.
- Do the enforcement manually (PR checklists) for 2 pilot teams to learn patterns.

Justification:
- Demand: The founders explicitly ask when to move from “ticket descriptions” to real specs and admit delays come from “unclear copy and decisions.” This is persistent and expensive once teams pass 8–12 people.
- ROI: Preventing 1 week of rework for a 6-person squad saves ~$20k+ in burn. Cutting cycle time 15–25% offsets the tool cost in days. Fewer rollbacks and hotfixes, higher predictability for releases.
- Scalable: Language-model powered summaries and template generation scale cleanly across orgs. Integration footprint is standard (Slack, Jira, GitHub, Notion/Confluence). Add-on SpecOps services boost ARPU without heavy headcount.
- Purple Cow/Controversial: It’s bold to let AI draft “the spec.” You enforce process via bots, not culture—some engineers will hate it. That controversy is the moat: strong opinions coupled with measurable reduction in ambiguity and rework.

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Pain Point #3: “We lose a client that’s been with us for 3 years. $40k annual contract… Last email sent to them was 23 days before they churned… Salespeople don’t update CRMs. This is not news to anyone… I looked at every tool… Nobody built the thing I actually needed: a dashboard that just shows me which clients are getting ignored right now.”

Opportunity: No-CRM Last-Touch Radar for revenue teams—manager-only dashboard that:
- Connects to Gmail/Outlook and Calendar metadata (no content read) and your client domain list.
- Shows red/yellow/green by account: days since last human touch (email, meeting, call).
- Sends weekly Slack digest + daily “top 10 at risk” without requiring reps to change behavior or log CRM notes.
- Optional “reassignment nudge” if an account hits a stale threshold.

First 10 Customers:
- VP Sales / Head of Account Management at B2B SaaS with 5–30 reps.
- Directors of Client Services at agencies/consultancies with 50–300 retained clients.
- Customer Success leaders at mid-market SaaS (5–20 CSMs).
- Founders managing sales themselves at $2M–$15M ARR who hate CRMs’ fantasy data.
- RevOps leaders tasked with churn reduction pre-board meeting.

MVP in 48 Hours:
- OAuth to Google Workspace and/or Microsoft 365; Typeform upload of customer domains.
- Simple Bolt.new dashboard listing domains + days since last outbound/inbound + last meeting date.
- Slack webhook for a daily digest; spreadsheet backend for thresholds; manual domain normalization.
- Pilot with 3 teams; measure recovered renewals.

Justification:
- Demand:
  - “$40k annual contract… Last email… 23 days… Salespeople don’t update CRMs… a dashboard that just shows me which clients are getting ignored right now.”
- ROI:
  - Prevent one $40k churn and the tool pays for itself for years. Typical save: 1–2 at-risk renewals per quarter at $10k–$50k each; manager saves 4–6 hours/week not parsing sent folders.
- Scalable:
  - Lightweight OAuth + metadata only means minimal security hurdles; seat- or team-based pricing ($149–$399/mo).
  - Add-ons: domain auto-discovery from invoices; renewal calendar; executive rollups; integrations to Slack/Teams.
- Purple Cow/Controversial:
  - “No CRM required” is contrarian; promises visibility without nagging reps. Privacy-forward (metadata-only) defuses IT pushback. It’s a one-metric product that leaders actually want.