Comprehensive Pre-Seed Fundraising Plan
Company: [API Documentation Auto-Generation Tool]
Target Raise: $1.5-2.0M Pre-Seed
Date: March 2026
SECTION 1: RAISE DECISION MEMO
1.1 Current State Assessment
| Metric | Status |
|---|---|
| Founders | 2 technical co-founders |
| Product | API documentation auto-generation from code |
| Design Partners | 8 total (3 daily active) |
| Paid Pilots | 2 at $500/month ($1,000 MRR) |
| Runway | ~$150k savings (~5 months) |
| Team | Founders only |
| Network | 5 angels, 2 warm VC intros |
1.2 Why Raise Now
Arguments FOR raising now:
- Product-market fit signals are emerging: 3 of 8 design partners use the product daily, indicating genuine utility
- Two paying customers at $500/month validates willingness to pay, even at pilot pricing
- 5 months of runway is a forcing function -- waiting longer increases risk of running out of cash before reaching meaningful traction
- Developer tooling market is active with strong investor appetite for AI-powered devtools
- Hiring 2 engineers + 1 designer now lets you build the product velocity needed to convert design partners to paid customers
Arguments AGAINST raising now:
- $1,000 MRR is thin for commanding strong terms; more paid pilots would strengthen the hand
- 2 paying customers out of 8 design partners (25% conversion) suggests the value prop may still need sharpening
- Raising too early may result in excessive dilution
- Could potentially bootstrap longer by converting more design partners to paid before raising
DECISION: Proceed with the raise. The 5-month runway constraint makes this urgent. The existing traction -- while early -- is sufficient for pre-seed. The risk of NOT raising (running out of money) outweighs the risk of raising at slightly less favorable terms.
1.3 Use of Funds (18-Month Plan)
| Category | Amount | % of Raise |
|---|---|---|
| Engineering (2 hires, 15 months) | $750,000 | 43% |
| Design (1 hire, 15 months) | $300,000 | 17% |
| Founder salaries (2 x modest) | $360,000 | 21% |
| Infrastructure & tooling | $90,000 | 5% |
| Legal, accounting, admin | $60,000 | 3% |
| Sales & marketing | $90,000 | 5% |
| Buffer / contingency | $100,000 | 6% |
| Total | $1,750,000 | 100% |
1.4 Key Milestones to Hit with This Capital
| Timeline | Milestone |
|---|---|
| Month 3 | Team fully hired and onboarded; ship v2 with top 3 feature requests from design partners |
| Month 6 | 10 paying customers; $5,000+ MRR; launch self-serve tier |
| Month 9 | 20 paying customers; $15,000+ MRR; clear product-market fit signals |
| Month 12 | $30,000+ MRR; begin seed round preparation |
| Month 15 | Raise seed round from position of strength |
SECTION 2: ROUND DESIGN
2.1 Round Structure Recommendation
| Parameter | Recommendation | Rationale |
|---|---|---|
| Instrument | SAFE (Post-Money) | Standard for pre-seed; minimizes legal cost and negotiation time |
| Target raise | $1.75M (range: $1.5-2.0M) | Provides 15-18 months runway with planned hiring |
| Valuation cap | $8-10M post-money | Typical for pre-seed B2B devtools with early revenue; gives investors ~17-22% ownership |
| Discount | None (or 20% if needed to close specific investors) | Clean cap, no discount is market standard for SAFEs |
| Pro-rata rights | Yes, for checks >$100k | Standard; gives investors right to maintain ownership in future rounds |
| MFN clause | Yes | Protects early investors if you issue SAFEs at lower caps later |
2.2 Investor Mix
| Investor Type | Target Allocation | Number of Checks | Avg Check Size |
|---|---|---|---|
| Lead angel or micro-fund | $300-500k | 1-2 | $200-300k |
| Angel investors | $500-750k | 8-12 | $50-75k |
| Pre-seed VC funds | $500-750k | 1-2 | $300-500k |
| Total | $1.5-2.0M | 10-16 | — |
2.3 Timeline
| Week | Activity |
|---|---|
| Weeks 1-2 | Finalize materials, warm intro requests, SAFE docs from lawyer |
| Weeks 3-4 | First meetings with angels and warm VC intros |
| Weeks 5-6 | Second meetings, deep dives, reference calls |
| Weeks 7-8 | Term negotiations, close first commitments |
| Weeks 9-10 | Fill remaining allocation, wire funds |
| Weeks 11-12 | Close round, begin hiring |
Target: Close the round in 8-10 weeks. Pre-seed rounds should move fast. Do not let it drag beyond 12 weeks.
SECTION 3: PITCH NARRATIVE + DECK OUTLINE
3.1 Core Narrative Arc
The Problem: API documentation is a universal pain point. Every engineering team writes APIs, and every team struggles to keep docs accurate and current. Outdated or missing API docs slow down onboarding, cause integration errors, increase support burden, and create friction between internal teams and external developers. Today, engineers either write docs manually (tedious, always out of date) or use basic auto-generation tools that produce unhelpful reference-only output.
The Insight: Modern code contains far more information than traditional doc generators extract. By analyzing code structure, types, patterns, comments, tests, and usage examples together, you can generate documentation that is not just technically accurate but genuinely useful -- the kind of docs a human technical writer would produce.
The Solution: Your tool automatically generates comprehensive, high-quality API documentation directly from codebases. It goes beyond simple reference docs to produce tutorials, examples, error handling guides, and migration notes. It stays in sync as code changes.
The Traction: 8 design partners, 3 using daily, 2 paying $500/month. Engineers at these companies report saving 5-10 hours per week on documentation tasks.
The Ask: $1.75M to hire a team of 4, reach 20 paying customers, and prove out the repeatable sales motion for developer tools in this category.
3.2 Pitch Deck Outline (12 Slides)
Slide 1: Title
- Company name, one-line description, your names
- "Auto-generated API docs that engineers actually want to read"
Slide 2: Problem
- API docs are universally painful: manual, outdated, incomplete
- Stats: avg engineering team spends X hours/week on docs; Y% of API docs are out of date within 30 days
- Quote from a design partner about the pain
Slide 3: Why Now
- Explosion of API-first architectures and microservices means more APIs to document
- AI/LLM capabilities now enable understanding code at the semantic level, not just syntactic
- Remote/distributed teams increase reliance on written documentation
Slide 4: Solution
- Live demo screenshots or a short GIF
- Three key capabilities: (1) auto-generation from code, (2) stays in sync with changes, (3) produces human-quality output (not just reference)
- Supported languages/frameworks
Slide 5: Product Demo / How It Works
- Show the workflow: point at a codebase, generate docs, review/publish
- Highlight the "magic moment" -- the first time an engineer sees their docs auto-generated and they are actually good
Slide 6: Traction
- 8 design partners, 3 daily active users
- 2 paid pilots at $500/month
- Key metrics: engagement, retention, NPS from design partners
- Logos if permissible
Slide 7: Business Model
- Tiered SaaS pricing: Free (small projects), Team ($500-1,500/month), Enterprise (custom)
- Land-and-expand: start with one team, expand across the org
- Net revenue retention potential: 150%+ as teams add more repos/APIs
Slide 8: Market
- TAM: All software companies with APIs (millions)
- SAM: Mid-market and enterprise engineering teams ($X billion)
- SOM: Companies with 10+ engineers using REST/GraphQL APIs ($X hundred million)
- Comparable exits: Readme.com, Swagger/SmartBear, Postman (valued at $5.6B)
Slide 9: Competition & Differentiation
- Landscape: Swagger/OpenAPI generators, Readme, Mintlify, manual processes
- Your advantage: fully automated from code (no manual annotation required), AI-powered quality, CI/CD integration
- Positioning matrix: automation level vs. output quality
Slide 10: Team
- Both co-founders: technical backgrounds, relevant experience
- Why you: domain expertise, builder credibility, speed of execution
- Key hires planned: 2 engineers, 1 designer
Slide 11: The Ask
- Raising $1.75M on a post-money SAFE
- Use of funds breakdown (pie chart)
- 18-month milestones
- What this capital enables you to achieve
Slide 12: Closing / Vision
- Long-term vision: become the knowledge layer for every engineering organization
- The future: not just API docs but all technical documentation, auto-generated and always current
- Contact info, next steps
3.3 Key Talking Points for the Pitch Meeting
-
Why this matters: Every minute an engineer spends writing docs is a minute not spent building product. This is not a nice-to-have -- it is directly tied to engineering velocity.
-
Why the timing is right: AI capabilities have crossed the threshold where auto-generated docs can be genuinely useful, not just stubs. Simultaneously, API proliferation (microservices, API-first) has made the problem 10x worse.
-
Why us: We are the target users. We have built APIs at [previous companies], felt this pain firsthand, and have the technical depth to solve it properly.
-
Why this is a venture-scale business: Every company with engineers is a potential customer. Documentation is a wedge into a much larger developer productivity platform. The comparison is Datadog (started with monitoring, expanded to the full observability stack).
-
Handling the "it is early" objection: Yes, $1,000 MRR is early. But the signal quality is high -- 37.5% of design partners use daily, 25% converted to paid within [X] weeks, and the feedback is "I cannot go back to writing docs manually." Pre-seed is about betting on the team and the insight, and we have both plus early revenue.
SECTION 4: INVESTOR TARGET LIST
4.1 Existing Network (Warm)
Angels (5 known contacts)
Prioritize based on: (1) relevance to devtools, (2) check size, (3) ability to make intros to others.
| Priority | Contact | Ask | Notes |
|---|---|---|---|
| 1 | Angel with devtools background | $50-100k + intros | Ideal first check; validates the space |
| 2 | Angel with B2B SaaS experience | $50-100k | Can advise on go-to-market |
| 3 | Angel with engineering leadership background | $25-50k | Can open doors at target customers |
| 4 | Angel #4 | $25-50k | Assess relevance |
| 5 | Angel #5 | $25-50k | Assess relevance |
Warm VC Intros (2 known)
| Priority | Fund | Typical Check | Notes |
|---|---|---|---|
| 1 | Warm VC Intro #1 | $300-500k | Research their portfolio for devtools investments; prepare tailored angle |
| 2 | Warm VC Intro #2 | $300-500k | Same as above |
4.2 Target Pre-Seed / Seed VC Funds (Developer Tools Focus)
These are funds known for investing in developer tools at the pre-seed stage. You should seek warm intros to all of them.
| Fund | Why Target | Typical Pre-Seed Check |
|---|---|---|
| Heavybit | Exclusively developer-focused | $250-500k |
| Boldstart Ventures | Early-stage enterprise/developer | $500k-1M |
| Essence VC | Developer infrastructure focus | $250-500k |
| Uncork Capital | Strong pre-seed devtools portfolio | $500k-1M |
| Haystack | Micro-fund, pre-seed focus | $100-250k |
| Precursor Ventures | Pre-seed specialist | $250-500k |
| Chapter One | Pre-seed, technical founders | $250-500k |
| Afore Capital | Pre-seed specialist | $250-500k |
| Banana Capital | Developer tools focus | $100-250k |
| Quiet Capital | Pre-seed B2B | $250-500k |
4.3 Target Angel Investors (Developer Tools Ecosystem)
Seek intros through your network, LinkedIn, Twitter/X, or angel platforms.
| Type | Examples to Research | Typical Check |
|---|---|---|
| DevTools founder-angels | Founders/execs from Vercel, Supabase, Retool, Postman, Stripe | $10-50k |
| Engineering leaders | VPs/CTOs at mid-to-large tech companies | $10-25k |
| Developer advocates | Well-known DevRel professionals with angel portfolios | $5-25k |
| Operator angels | Former heads of product/engineering at relevant companies | $10-50k |
4.4 Angel Syndicates & Platforms
| Platform | Notes |
|---|---|
| AngelList | Create a rolling fund page; access syndicate leads |
| SV Angel | Seek warm intro |
| South Park Commons | Community + investment for technical founders |
| On Deck | Founder community with angel network |
| Pioneer Fund | For early technical founders |
4.5 Outreach Prioritization Framework
Tier 1 (Weeks 1-2): Warm intros only -- 5 angels + 2 VCs from existing network. Goal: secure 2-3 early commitments to create momentum.
Tier 2 (Weeks 3-4): Second-degree intros from Tier 1 conversations + targeted devtools VCs (seek warm intros from angels, other founders, LinkedIn connections).
Tier 3 (Weeks 5-6): Fill remaining allocation from angel syndicates, platforms, and any remaining VC targets.
SECTION 5: OUTREACH SCRIPTS
5.1 Warm Intro Request (to a mutual connection)
Subject: Quick intro request -- [Investor Name]
Hi [Mutual Connection],
Hope you are doing well! Quick favor -- would you be open to introducing me to [Investor Name]?
[Co-founder] and I are building [Company Name] -- we auto-generate API documentation directly from codebases using AI. We have 8 design partners (3 using daily) and 2 paying pilots, and we are raising a $1.75M pre-seed to build out the team.
I think [Investor Name] would be a great fit because [specific reason -- their devtools portfolio / their background in X / their thesis around Y].
Happy to send a short blurb you can forward, or whatever format works best for you. And no pressure at all if the timing is not right.
Thanks! [Your Name]
5.2 Forwardable Blurb (for the mutual connection to send)
Subject: Intro -- [Your Name] / [Company Name] (API docs from code, pre-seed)
Hi [Investor Name],
Wanted to connect you with [Your Name] and [Co-founder Name], who are building [Company Name]. They auto-generate high-quality API documentation directly from codebases -- think "what if your API docs wrote themselves and actually stayed current."
They have 8 design partners (3 daily active), 2 paid pilots at $500/month, and are raising a ~$1.75M pre-seed. Both founders are technical ([brief relevant background]).
I thought this might be up your alley given [reason]. Looping you both in -- I will let you take it from here.
Best, [Mutual Connection]
5.3 First Investor Meeting Follow-Up
Subject: Following up -- [Company Name] + [Fund/Investor Name]
Hi [Investor Name],
Thanks for taking the time to chat today. I really enjoyed our conversation, especially your thoughts on [specific topic discussed].
As promised, here is:
- Our deck: [link]
- A short product demo: [link, if available]
- [Any other materials discussed]
A few things I wanted to follow up on based on our discussion:
- [Answer to a question they asked that you want to reinforce]
- [Additional data point that supports the conversation]
Would love to schedule a follow-up to go deeper on [topic]. What does your calendar look like next week?
Best, [Your Name]
5.4 Cold Outreach (Last Resort -- Email)
Subject: API docs that write themselves -- raising pre-seed
Hi [Investor Name],
I am [Your Name], co-founder of [Company Name]. We auto-generate API documentation from code -- not the bare-bones reference output you get from Swagger, but the kind of docs a human technical writer would produce. Engineers point us at a codebase and get comprehensive, accurate docs that stay in sync as code changes.
We are 2 technical co-founders with 8 design partners (3 daily active) and 2 paying pilots. Raising $1.75M pre-seed to reach 20 paying customers in 9 months.
I am reaching out because [specific reason -- your investment in X / your thesis on Y / your background in Z].
Would you be open to a 20-minute call this week?
Best, [Your Name] [Company Name] -- [one-line description]
5.5 Cold Outreach (Twitter/X DM)
Hi [Name] -- I am building [Company Name], auto-generating API docs from code with AI. 2 technical co-founders, 8 design partners (3 daily), 2 paid pilots. Raising pre-seed. Your work on [specific thing] resonated with me -- would love to share what we are building if you have 15 min.
5.6 Investor Update Email (for angels who commit early)
Subject: [Company Name] Investor Update -- [Month Year]
Hi [Name],
Quick monthly update:
Highlights:
- [Key win #1]
- [Key win #2]
- [Metric improvement]
Challenges:
- [Honest challenge #1]
Asks:
- Intro to [specific person/company]
- Feedback on [specific topic]
Key Metrics:
| Metric | Last Month | This Month | Change |
|---|---|---|---|
| MRR | $X | $Y | +Z% |
| Paying Customers | X | Y | +Z |
| Design Partners | X | Y | +Z |
Thanks for your support! [Your Name]
SECTION 6: DILIGENCE PREP CHECKLIST
6.1 Corporate & Legal
- Company incorporation docs -- Certificate of incorporation, articles, bylaws
- Cap table -- Clean cap table showing founder equity split, any options/SAFEs issued
- Founder agreements -- Vesting schedules (standard: 4-year with 1-year cliff), IP assignment
- IP assignment agreements -- All code/IP formally assigned to the company (not individuals)
- Operating agreement / Stockholders agreement -- If applicable
- State/federal compliance -- Good standing in state of incorporation
- EIN / Tax ID -- Obtained and current
- Existing SAFEs or convertible notes -- If any, have clean copies ready
- Prior funding history -- Document any prior investments, even informal ones
6.2 Financial
- Bank statements -- Last 6 months
- Revenue documentation -- Invoices, payment records for the 2 paid pilots
- Burn rate calculation -- Monthly burn, current runway, projected burn post-hire
- Financial projections -- 18-month model with assumptions clearly stated
- Use of funds breakdown -- Detailed allocation of the raise
- Pricing strategy document -- Current pricing, planned tiers, rationale
6.3 Product & Technology
- Product demo -- Live or recorded, 3-5 minutes
- Architecture overview -- High-level technical architecture (1-page diagram)
- Technology differentiation -- What is proprietary/defensible about your approach
- Roadmap -- 6-12 month product roadmap with key milestones
- Security practices -- How customer code is handled, data privacy approach
- Open source dependencies -- License audit (no copyleft issues in proprietary code)
6.4 Traction & Customers
- Customer list -- All 8 design partners + 2 paid pilots with details
- Customer references -- 2-3 design partners willing to take investor reference calls
- Usage metrics -- DAU/WAU/MAU, feature usage, engagement data
- Testimonials / quotes -- Written or video from daily active users
- Pipeline -- List of prospective customers and stage
- Churn data -- Have any design partners stopped using the product? Why?
- NPS or satisfaction data -- If collected
6.5 Market & Competition
- Market sizing -- TAM/SAM/SOM with methodology
- Competitive landscape -- Matrix of competitors with honest assessment
- Differentiation doc -- Why you win against each major alternative
- Customer acquisition strategy -- How you plan to get to 20 customers
6.6 Team
- Founder bios -- Detailed backgrounds, LinkedIn profiles current
- Founder references -- 2-3 people who can speak to each founder's abilities
- Hiring plan -- Roles, profiles, compensation ranges, timeline
- Advisor agreements -- If any advisors, have formal agreements
- Background checks -- Be prepared; some investors will do informal checks
6.7 Fundraise-Specific Documents
- Pitch deck -- 12-slide deck as outlined above (PDF + editable)
- One-pager -- Single-page company summary for quick sharing
- SAFE agreement -- Use YC standard post-money SAFE (pre-signed by company, ready for investors)
- Data room -- Organized folder (Google Drive or DocSend) with all above materials
- FAQ document -- Preemptive answers to common investor questions
6.8 Data Room Organization
Structure your data room as follows:
/Company Name - Pre-Seed Data Room
/1. Pitch Materials
- Pitch Deck (PDF)
- One-Pager (PDF)
- Product Demo (video link)
/2. Corporate
- Certificate of Incorporation
- Bylaws
- Cap Table
- Founder Agreements
- IP Assignment
/3. Financial
- Bank Statements
- Revenue Documentation
- Financial Model
- Use of Funds
/4. Product
- Architecture Overview
- Product Roadmap
- Security Overview
/5. Traction
- Customer List
- Usage Metrics
- Testimonials
- Pipeline
/6. Market
- Market Sizing
- Competitive Analysis
/7. Team
- Founder Bios
- Hiring Plan
/8. Legal
- SAFE Template
- Prior Agreements (if any)
SECTION 7: EXECUTION PLAYBOOK
7.1 Week-by-Week Action Plan
Pre-Launch (Weeks -2 to 0)
- Finalize pitch deck
- Record product demo
- Set up data room
- Get SAFE docs reviewed by lawyer ($500-1,000 via Clerky or startup lawyer)
- Clean up cap table
- Brief all 5 angel contacts that you are raising
- Request warm intros to the 2 VC contacts
- Collect written testimonials from 3 daily active design partners
- Prepare financial model
Active Fundraise: Week 1-2
- Launch conversations with all 5 angels simultaneously
- Take first meetings with 2 warm VC intros
- Ask every person you meet for 2-3 additional intros
- Track all conversations in a simple spreadsheet (Name, Fund, Stage, Next Step, Notes)
- Target: 10-15 first meetings
Active Fundraise: Week 3-4
- Follow up on all first meetings within 24 hours
- Schedule deep-dive meetings with interested investors
- Start second-degree intro conversations
- Begin outreach to devtools-focused VCs from target list
- Target: secure first 1-2 commitments (even small angel checks)
Active Fundraise: Week 5-6
- Use early commitments to create urgency with remaining prospects
- Reference calls: connect interested investors with design partners
- Handle diligence questions promptly (same-day responses)
- Target: $500k-1M in committed capital
Active Fundraise: Week 7-8
- Push for decisions from all active conversations
- Fill remaining allocation with angels and syndicates
- Begin SAFE signing and wire process with committed investors
- Target: $1.5M+ committed
Close & Transition: Week 9-10
- Close final investors
- Confirm all wires received
- Send thank-you notes to all investors
- Send first investor update
- Begin hiring process for 2 engineers + 1 designer
- Return to building full-time
7.2 Common Objections and Responses
| Objection | Response |
|---|---|
| "It is too early" | "Pre-seed is definitionally early. We have revenue, daily active users, and a clear 9-month plan to 20 paying customers. The question is whether you believe in the team and the market, and we think the evidence supports both." |
| "The market is crowded" | "The existing tools (Swagger, Readme) prove the market exists and is large. But they require heavy manual effort. We are the first to deliver truly auto-generated docs that match human quality. None of the incumbents have this capability." |
| "$500/month is low ACV" | "This is pilot pricing to reduce friction. Our conversations with design partners indicate willingness to pay $1,500-3,000/month at GA. At 20 customers at $2,000/month, that is $40k MRR -- strong seed metrics." |
| "Why not bootstrap?" | "We could, but we would be slower. The developer tools market rewards speed -- being first to nail the AI-generated docs experience is critical. This capital lets us get to product-market fit before the window closes." |
| "What about AI making this commoditized?" | "Raw LLM output is not good enough for production documentation. Our value is in the deep code understanding pipeline, the domain-specific quality layer, and the CI/CD integration that keeps docs in sync. This is an engineering problem, not just a prompting problem." |
| "Can you show me the product?" | Always be ready with a live demo. Nothing is more convincing than showing an engineer's codebase being turned into beautiful docs in real-time. |
7.3 Key Metrics to Track During the Raise
| Metric | Target |
|---|---|
| First meetings booked | 20-30 total |
| Conversion: first meeting to second meeting | >50% |
| Conversion: second meeting to commitment | >30% |
| Average time from first meeting to commitment | <3 weeks |
| Number of intros generated per meeting | 2-3 |
| Time to close (round open to round closed) | 8-10 weeks |
7.4 Rules of Engagement
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Run a parallel process. Meet with as many investors as possible in the same 2-week window. This creates natural urgency and gives you options.
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Never stop building. Designate one founder as the primary fundraiser; the other keeps shipping. New features and customer wins during the raise are your best leverage.
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Update everyone simultaneously. When you hit a milestone (new customer, feature launch), email all active investor conversations at once.
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Set deadlines. Once you have a lead commitment, give others 1-2 weeks to decide. Be polite but firm.
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Take the money. If an investor offers good terms, do not hold out for the perfect investor. Speed matters more than optimization at pre-seed.
-
Ask for feedback from every "no." Every rejection is data. If you hear the same concern three times, address it in your pitch.
-
Keep the round small. 10-15 investors maximum on your cap table at pre-seed. Too many small checks create administrative overhead and messy future rounds.
APPENDIX: KEY REFERENCE NUMBERS
Pre-Seed Benchmarks (2025-2026, B2B DevTools)
| Metric | Low | Median | Strong |
|---|---|---|---|
| Round size | $500k | $1.5M | $3M |
| Post-money valuation cap | $5M | $8-10M | $15M |
| Founder dilution | 10% | 15-20% | 25% |
| Time to close | 4 weeks | 8 weeks | 16 weeks |
| MRR at pre-seed | $0 | $1-5k | $10k+ |
| Customers at pre-seed | 0-2 | 3-5 | 10+ |
Your Position Assessment
| Metric | Your Status | Assessment |
|---|---|---|
| Team | 2 technical co-founders | Strong for pre-seed |
| MRR | $1,000 | Below median but acceptable |
| Engagement | 3 daily active users | Strong signal |
| Paid conversion | 25% of design partners | Good |
| Market | Developer tools / AI | Hot category |
| Network | 5 angels + 2 VC intros | Adequate starting point |
Overall assessment: You are in a reasonable but not commanding position. The raise is achievable but will require hustle. Your strongest assets are: (1) both founders are technical, (2) you have paying customers, and (3) the market tailwind for AI-powered developer tools. Lean into these in every conversation.