Claude Code Distribution Framework

Directory submissions are part of the SEO strategy in the framework, and they're the step I kept doing badly myself.

I run 5 products on 5 domains, so the same list of directories needs 5 different sets of statuses. My spreadsheet was dead by the second product.

So I built the tracking part and put it up free at beyondfolder.com/directories.

518 directories with pricing, submit URL and badge requirements, 515 of them free to submit. Sorted by domain rating so you start with the ones that carry weight. One account handles multiple projects, each with its own statuses.

The part I actually wanted: there's an MCP endpoint, so Claude Code or Grok Bot can read your remaining directories and mark them off while it does the submissions. No more pasting rows into the chat and forgetting to write the results back.

It doesn't submit for you. Most directories have their own forms, captchas and review queues, and the ones that accept automated submissions are usually the ones not worth submitting to.

Free, no paid tier. I built it because I needed it.

One honest note: I've been submitting since February and my domain rating went from 19 to 24. No directory has ever shown up as a referrer in my analytics.

Treat it as slow backlink work, not a traffic channel.

I'm validating a new product (multi-domain email tool) and using my own distribution framework to do it. I built it from lessons after launching multiple products without validating first and then decided to turn it into a paying product. But if it doesn't work on me, what am I even selling?

What the framework told me to do:

1. Score the ICP before writing any code. I scored 6 segments. Agency owners came out top at 85/120, small business founders at 79/120.

2. Validate across multiple channels with the same problem statement. Posted on X, LinkedIn, Discord, and a few subreddits over a week.

3. DM the people who described real pain in the comments. Didn't pitch, just asked about their setup.

4. Track signals against pre-written kill criteria. Mine were: 5+ pain signals, 1+ price quote, no platform competitor shipping the same thing.

Current state: 4 pain signals (need 5), 1 price quote ($10-30/mo), and a competitor in another thread just shipped a similar version of my idea. Not sure if to build it or not right now, still early.

The uncomfortable part: validation is exhausting. I thought I would get replies like "yes I need this."
But most replies were suggesting solutions instead. You have to keep your kill criteria written down so you don't talk yourself into building something that's already been killed.

The other uncomfortable part: my framework might tell me to kill this. And then I have to actually do it instead of building anyway.

Anyone else done structured validation before building? What kept you honest when the data said stop?

I've been building the Distribution Framework for technical founders. The kind of people (like me) who can build products but have zero clue how to get customers.

A serial founder posted a detailed breakdown of how he evaluates and commits to business ideas. Nine startups, current one at $5M ARR. Not selling anything, just sharing what he's learned over 15 years.

So I did what any framework builder would do: I ran his advice against mine to find the gaps.

Some things I already had covered well. Pain-based opportunity identification, niche targeting, scoring frameworks, validation phases.

But there were real blind spots:

No self-assessment step. My framework jumped straight to "validate the idea" without asking "can YOU actually execute on this idea?" Added a skill tier list (Good/Acceptable/Bad) and a simple filter: if the business needs skills you're bad at and you don't have a co-founder who covers them, pick a different idea.

No market sizing math. Had "market size" as a scoring criterion but never showed how to estimate it. Added the TAM/SAM/SOM formulas. Simple: (people in need x price x frequency) x 10% = your realistic opportunity.

Missing a quick comparison view. Had detailed weighted scoring but no fast way to compare ideas at a glance. Added a 3-column table: Timeline to Ship, Opportunity Size, Confidence. Key insight from the post: shorter timeline = less confidence needed. If you can test in 2 weeks, take the shot.

No early pricing tactics. Had outreach templates and discovery call scripts but nothing on how to price for your first customers. Added: sell at cost (goal is validation, not profit), godfather offers (lock in early adopters cheap), and advisor shares for B2B.

"Lean into being small" was missing from mindset. Technical founders especially tend to over-polish before they validate. Fancy landing pages, logos, business cards for a product with zero customers. A founder talking directly to a potential customer is a competitive advantage. Big companies literally can't do that.

One thing he said that I'm keeping as a personal rule: finding zero competitors is a red flag, not a green light. If nobody else is solving this problem, someone probably tried and failed.

The framework keeps getting better every time I run it against real founder experience. That's the whole point of a living system, not a static course.

Get the latest version including lifetime updates and use it with Claude Code yourself at https://beyondfolder.com/distribution

I used to validate ideas by doing market research, looking at competitors, estimating TAM. All useful stuff. But I kept building things that looked good on paper and died on launch.

The missing piece was stupid simple: post the idea publicly and count who reaches out without being asked.

Here's what I do now:

1. Run desk research first (automated, takes an hour, costs nothing)
2. If the numbers look decent, post the raw idea on X/LinkedIn/Reddit
3. Wait a week
4. Count unprompted responses

The threshold: 10 people reaching out on their own. Not likes. Not "cool idea" comments. Actual DMs, people tagging friends, replies describing their workaround for the problem.

Killed 2 ideas this way. None hit 10.

Why unprompted matters:

If you ask "would you use this?" people say yes to be nice. If someone DMs you without being asked, they actually have the problem. That's a completely different signal.

The other thing that changed my approach: channel focus.

I was doing the classic indie hacker thing of posting everywhere, trying SEO, cold outreach, social, all at once. Getting mediocre results across the board.

Now I test 3 channels for 60 days, measure which one drives actual revenue (not traffic, not followers), and kill the bottom 2. Then I pour everything into the winner.

Tibo talked about this recently. SEO was the winner for Revid, affiliates for Outrank, social for SuperX. Different product, different winner every time. You have to test it, you can't guess.

One more thing for the first 5-10 users:

Set up the product for them yourself. Don't just give them access. Configure it, customize it for their business, walk them through it. Yes it's manual. Yes it doesn't scale. But those early users become advocates and you learn exactly where the product breaks.

I stopped doing it after 10 users. By then the patterns were clear enough to productize the onboarding.

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All of this is in my distribution playbook (beyondfolder.com/distribution) if you want AI to apply the full system to your product.

I'm a developer who spent a decade avoiding sales and marketing, so everything in there comes from actually figuring it out with real numbers, not theory.

I spent the last couple of days reading founder post-mortems. Founders who got to $20k-$37k MRR with zero ad spend, documenting what worked and what didn't.

The uncomfortable part: most of what failed, I was doing. The thing that worked everywhere was being genuinely helpful in communities before mentioning a product. I was doing that badly.

I was posting into the void. So I updated the playbook.

Here's what I added and why.

LinkedIn comment flywheel

I knew LinkedIn got me reach (16-25K impressions on good posts). What I was missing: posting alone doesn't convert. The mechanism is comments. Find big creators in your niche, go to the profiles of people who comment on their posts, leave genuine comments. They respond, you connect, your existing posts show up in their feed. Content does the selling.

One founder went from 0 to 10 paying customers in 30 days from zero followers doing exactly this.

Discord and Slack communities

Every founder who mentioned this called it massively underrated. When someone posts their problem in a community, they're asking for help right now. That's higher intent than any lead you pull from Apollo. You DM to help, not to pitch. The conversion rate reflects it.

Keyword alert monitoring

Set up alerts for every relevant keyword. Respond to every question on Reddit, X, forums within minutes. One founder did this for 6 months straight. His audience thought he was a team of 10. F5Bot does this for Reddit, free.

"Boring SEO": competitor troubleshooting searches

Target the searches frustrated competitor users make: "[tool] not working," "how to export from [competitor]," migration guides. Near-zero competition, extremely high intent. One founder gets ~50 signups/month on autopilot from this. Running steady for 8 months.

Plain-text emails

One founder removed all branding and HTML formatting from his emails. Open rate nearly doubled. Plain text looks like a conversation. Formatted emails look like newsletters.

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Current status: 3 sales, $117. Still grinding toward 5 sales before raising the price.

If you're using the framework, pull the latest. Everything above is in there now: beyondfolder.com/distribution

If you're bootstrapped and spending 10 hours a week on your side project instead of freelancing, that's real burn. $50/hr × 10 hrs × 4.33 weeks = $2,165/month you're not earning. Most burn rate calculators don't account for this.

So I built one that does. Toggle opportunity cost on and your "zero burn" runway suddenly looks a lot shorter. Also does gross vs net burn, runway in months, zero-cash date, and a 20% expense reduction scenario showing exactly how many months you'd gain.

I also shipped a break-even calculator alongside it. This one does month-by-month growth modeling with churn factored in, not just a single break-even number. There's a price increase scenario that shows how many fewer customers you'd need at +20%.

I ran my own progressive pricing through it ($39 base, +$10 every 5 sales) and it reframed how I think about early months. At $49 I need 41 customers for $2K MRR, but after 40 customers the price hits $119, so only 17/month at that point.

Both free, no signup, no email gate. They join 5 other calculators (churn rate, CAC, LTV, revenue growth, client qualification) at beyondfolder.com/tools.

Building these as an SEO play for my distribution framework. 7 tools live, starting to see relevant queries on page 2 of Google after about 6 weeks. Slow but compounding.

I sell a $39 product to indie hackers. 3 sales so far, all from Reddit and Indie Hackers. Zero from organic search.

So I decided to try the free tools SEO strategy. Build small calculators targeting low difficulty keywords, make them better than whatever's ranking, and hope Google notices.

I built 5 tools over about 6 weeks: churn rate calculator, CAC calculator, LTV calculator, revenue growth calculator, and a client qualification scorer. Each one targets a keyword with difficulty under 8 and decent monthly volume (320 to 5,400 searches).

The approach was simple. Most competing calculators are basic, two inputs, one output, done. I made mine more comprehensive. The CAC calculator does blended + per-channel CAC, LTV:CAC ratio, payback period, and benchmarks by industry. The LTV calculator has expansion revenue, NPV adjustment, and churn scenario modeling. The idea is that if someone's comparing tools, mine should be the one they actually bookmark.

Here's where I'm at in GSC:

- 1,260 impressions
- 6 clicks
- 0.5% CTR
- Average position: 20.9
- Domain Rating: 19

So yeah. Page 2-3 for most queries. Not exactly a traffic machine yet.

But the queries showing up are exactly right: "churn rate calculator", "customer acquisition cost calculator", "saas revenue calculator", "ltv calculator". The keywords I targeted are the ones appearing. Average position is slowly improving.

What I'd do differently: I probably should have started submitting to more directories earlier to build DR faster. I'm at 19 now, which limits how quickly I can crack page 1 for anything with competition. I'm also planning 4 more tools (break-even, burn rate, ROI, profit margin) because more indexed pages with internal cross-links should help the whole domain.

The honest take: free tools SEO is a slow game when you're starting from zero authority. My community posts and cold DMs produced all 3 sales. SEO has produced zero revenue so far. But I'm betting that in 3-6 months, organic traffic will compound in a way that outreach can't.

Anyone else running the free tools strategy? How long did it take before you started seeing real traffic from it?

My first product got 5 free users and $0 after 6 months of building. Classic indie hacker mistake - I never validated the idea. Just assumed people wanted it. I didn't even want it :)

So when I started building a Distribution Framework for technical founders, I realized the system should start before you even write code. Not just "how do I get customers" but "should I build this at all?"

I built an idea validation agent for Claude Code. You type "Validate this product idea" and it does the research you'd normally spend days on:

- Searches Reddit for complaints and "I wish" posts about your problem
- Checks G2 and Capterra reviews for competitor weaknesses
- Looks for pricing signals (do people already pay for solutions?)
- Estimates market size and where potential customers hang out

Then it scores your idea on 8 criteria, weighted by what matters most:

- Pain evidence: 3x weight
- Willingness to pay: 3x weight
- Market size: 2x weight
- Market accessibility: 2x weight
- Competitive gap: 2x weight
- Build feasibility: 2x weight (can a solo dev ship MVP in 2 weeks on <$200/mo infra?)
- Revenue potential: 1x weight
- Personal fit: 1x weight

Total score out of 80. You get a verdict: Strong, Promising, Weak, or Kill.

The best part is the output doesn't just say "good idea" or "bad idea." It gives you concrete next steps:
- 3-5 specific communities to post research questions in
- A post angle that surfaces pain naturally (not "hey would you buy my thing")
- Who to DM for discovery calls
- A landing page headline to test

The whole desk research phase takes 1-2 hours instead of the 2-4 weeks you'd spend building an MVP only to find out nobody cares.

I've been using the two-phase approach: Phase 1 is this automated research. Phase 2 is 3-7 days of manual community validation - actually posting, talking to people, doing discovery calls. The Mom Test stuff.

The agent can't replace talking to real people. But it can tell you whether it's worth starting those conversations in the first place.

This is part of the Distribution Framework which now covers the full loop: validate > set up > find customers > outreach > track > iterate.

Would love to hear how you all validate ideas. Do you do any desk research before building, or do you just ship and see what happens?

PS: The agent is public as a Gist here.

Most free LTV calculators use the simple formula: ARPU (average revenue per user) × average customer lifetime. Plug in $99/mo and 18 months and you get $1,782.

But if your gross margin is 60%, you're only keeping $1,069 of that. The simple formula overstates your LTV by 40%. That's the difference between thinking your LTV:CAC (life time value to customer acquisition cost) ratio is 3:1 (healthy) and realizing it's actually 1.8:1 (losing money).

I kept running into this while building my own SaaS tools, so I built one that does it properly: beyondfolder.com/tools/ltv-calculator

It adjusts for gross margin by default. But it also has an advanced mode that adds:

- Expansion revenue (upsells, seat growth): this changes the math dramatically. At 2% monthly expansion with 5% churn, your effective net churn drops to 3%, which increases average lifetime by 67%.

- NPV-adjusted LTV for longer customer lifetimes where money in year 4 is worth less than money today

- LTV:CAC ratio and CAC payback period

- A scenario that shows what happens if you cut churn by 50%, in actual dollar terms

It also highlights which industry benchmark matches your inputs, so you can see how you compare to your segment.

Fifth free tool I've shipped (also have churn rate, CAC, revenue growth, and client qualification calculators at beyondfolder.com/tools). No signup needed.

If you try it, let me know if anything looks wrong or if there's a metric you'd want added.

Built another free tool for founders: https://beyondfolder.com/tools/cac-calculator

Plug in your marketing spend, sales spend, and new customers. You get blended CAC, the marketing vs sales split, LTV:CAC ratio, payback period, and a benchmark comparison against your industry.

I built this because I was doing CAC math in my head for way too long. Turns out "feels about right" is a bad strategy when you're bootstrapped and every dollar matters.

The unit economics toggle is the part I actually use most. Seeing LTV:CAC ratio next to the benchmark for your industry makes it really obvious if you're overspending or if there's room to push harder.

No signup, completely free. This is the 4th one I've made (churn calculator, revenue growth calculator, and client qualification tool are at beyondfolder.com/tools too).

Let me know if anything's confusing or if you'd want it to calculate something else.