Split Audience - Tabs
+Hero section shared, then two tabs: "I'm Building" and "I'm Investing". Each tab shows tailored messaging. Keeps the page short, lets each audience self-select.
+diff --git a/.env.example b/.env.example index cf33833..a265ac8 100644 --- a/.env.example +++ b/.env.example @@ -5,6 +5,9 @@ ANTHROPIC_API_KEY= # sk-ant-api* format OPENAI_API_KEY= # sk-* format (fallback if Anthropic unavailable) +# Model override (optional - defaults to claude-haiku-4-5-20250315) +EXITSTORM_ANALYSIS_MODEL= + # Database DB_PATH=data/contributions.db diff --git a/.superpowers/brainstorm/50469-1774880047/content/homepage-direction.html b/.superpowers/brainstorm/50469-1774880047/content/homepage-direction.html new file mode 100644 index 0000000..fb16413 --- /dev/null +++ b/.superpowers/brainstorm/50469-1774880047/content/homepage-direction.html @@ -0,0 +1,51 @@ +
What vibe should the homepage set?
+ +Dark background, terminal-style code snippets, glowing accent colors. Speaks to builders and AI agents. Shows the pipeline as a live demo. "Drop an idea, get a financial model."
+Light background, clean typography, professional feel. Speaks to founders and operators. Shows the value prop clearly. "The operating system for micro-SaaS exits."
+How should the page flow? Click to select.
+ + diff --git a/.superpowers/brainstorm/50469-1774880047/content/homepage-mockup.html b/.superpowers/brainstorm/50469-1774880047/content/homepage-mockup.html new file mode 100644 index 0000000..d127a8a --- /dev/null +++ b/.superpowers/brainstorm/50469-1774880047/content/homepage-mockup.html @@ -0,0 +1,445 @@ + + + + + +ExitStorm turns raw ideas into financial models, priority scores, and exit plans. Know if it's worth building before you write a line of code.
+Every idea goes through the same rigorous process. No gut feelings. No guessing.
+Title + description. That's all it takes.
+ARR projections, valuation, breakeven timeline.
+8 weighted criteria. 0-10 score. Build or skip.
+Auto-matched from contributor history.
+Points unlock as you hit real targets.
+List on Flippa/Acquire.com. Distribute proceeds.
+Not generic startup metrics. These are tuned for what Flippa and Acquire.com buyers actually look for.
+How recurring and predictable is the revenue?
Growth + margin headroom within 12 months.
Under 2 weeks = 10. Over a year = 1. Ship fast, flip fast.
Proprietary data, network effects, or thin wrapper?
Embedded workflow tool or novelty single-use?
Fully automated = 10. Founder-dependent = 2. Buyers want hands-off.
Solves a $10K+/yr pain point, or commodity?
Riding a trend, or ahead of the market?
Verdicts: Score under 5 = don't build. 5-7 = queue it. 7-8 = solid. 8+ = build first. The math is deterministic - AI provides the ratings, the weights are locked in code.
+Every idea gets a complete financial model using acquisition multiples that match what buyers actually pay.
+| Type | Multiple | Why |
|---|---|---|
| B2B AI SaaS | 8-12x ARR | Highest demand from acquirers right now |
| B2C SaaS | 3-5x ARR | Higher churn, lower switching costs |
| Micro-SaaS | 2.5-4.5x SDE | Solo-buildable, under 3 months. SDE = ARR x 0.6 |
| API Tools | 5-8x ARR | Usage-based, sticky integration |
| Marketplace | 3-6x ARR | Network effects offset by liquidity risk |
Points replace equity negotiations. Earned by verified work, vested against real milestones, backed by a complete audit trail.
+ +Every project in the pipeline comes with structured data you can actually evaluate. No decks. No pitch theater. Just numbers.
+Every project gets the same analysis: 3-scenario ARR, valuation ranges using real acquisition multiples, breakeven timeline. Compare apples to apples across the entire pipeline.
+Weighted for exit-ability, not vanity. Founder Independence, Build Speed, and Defensibility are scored explicitly. The math is deterministic and auditable.
+See who's building what, matched by verified contribution history. No self-reported skills. Every team member earned their role through tracked, evidenced work.
+Every contribution has a source, evidence, and timestamp. Daily point caps, vouch limits, and anti-gaming constraints mean the data is trustworthy enough to allocate real money against.
+