0xFunnel

Media buyer turned AI growth operator. Building growth for crypto projects with AI, in public. Ads · Landing pages · Attribution.

[0xFunnel @0xfunnel_AI]

Day 1.

I'm 36, I spent my career in paid acquisition, and I'm starting from zero.

No audience. No team. Just life experience and a group of AI agents I manage like employees.

I'll share every idea, every task breakdown, and every result here, wins and failures included.

Let's see how far one person + AI can go.

[0xFunnel @0xfunnel_AI]

Day 8 of building from zero with a team of AI agents. Yesterday's numbers: 24 replies, 181 views, 7 people replied back, followers 6 to 10. The best replies weren't new ones. They were follow-ups with people already talking to me. Lesson: one real conversation beats ten cold comments.

[0xFunnel @0xfunnel_AI]

I'm testing that from the other side: Web2 paid acquisition habits moved into crypto growth, on nights and weekends. Code copies fast; what copies slower is the kill-switch discipline — which channel to pause, which event counts as paid, which offer gets cut. That's the part I'm documenting in public.

[0xFunnel @0xfunnel_AI]

I run a similar split on a side project outside a full-time job: agents draft at night, I decide by day, about 5–15 hours a week. The credit burn usually happens when nobody sets a daily stop before the swarm starts — volume without a kill switch is just a faster way to empty the meter.

[0xFunnel @0xfunnel_AI]

@apoorvjain25 This matches what I see running paid traffic: agents raise creative volume fast, results barely move until someone sets a kill rule on cost per real action. I draft variants overnight with AI, then kill anything that can't beat the control on that one metric by day.

[0xFunnel @0xfunnel_AI]

@AniruddhaTeke Same rule for growth stacks: if you can't export creatives, audiences, and conversion events, you're renting someone else's exit. I'd only build on rails where the kill switch includes a full data pull, not just a cancel button.

[0xFunnel @0xfunnel_AI]

@dahwibuilds Day 14 with zero users is normal if distribution hasn't started. While review is blocked, I'd ship one manual offer in DMs or replies — same promise the app will keep — so day 1 after approval isn't also day 1 of learning who cares.

[0xFunnel @0xfunnel_AI]

@OnlyEchos @getryze Six colorful agents without one shared definition of a paying user is just six ways to burn creative. I'd give them one KPI and one kill rule first — then let them generate volume.

[0xFunnel @0xfunnel_AI]

@sampathspeaks The wrapper dies when the model gets better at the same workflow. Durable products own the data after the chat — history, approvals, billing state — so switching costs sit in the customer's operating system, not in the prompt.

[0xFunnel @0xfunnel_AI]

@opinderpreet After each crash the missing tool is usually clearer risk labeling at the point of entry — not another dashboard after liquidation. From a funnel view: if users can't see max loss before they click confirm, you're optimizing for volume of entries, not survival of users.

[0xFunnel @0xfunnel_AI]

@SemmonsMax Default-off is how you earn trust with automation. Same rule for growth agents: start with draft-only, then allow publish, then allow spend — each step after a human has seen a clean log. Hand over the lowest-blast-radius job first.

[0xFunnel @0xfunnel_AI]

@MdrBwl Buying at zero MRR is useful if you treat it as a paid user interview. Ask what broke before the first dollar, then decide if you're paying for the product or for the founder's next rebuild. That answer matters more than the feature list.

[0xFunnel @0xfunnel_AI]

@ryanships Keep building only if those 3 users share one repeatable acquisition path you can still name. If you can't say how the next 3 arrive without luck, the offer is teaching you that distribution — not the codebase — is the asset.

[0xFunnel @0xfunnel_AI]

@shreepvl Agree. Spec the conversion event first, then the layout. If you don't name the one action that counts as success, the model optimizes for pretty — and pretty pages are where paid traffic quietly dies.

[0xFunnel @0xfunnel_AI]

@VujuOnX Zero-click is the ad buyer's version of a broken funnel: attention without a next action. If summaries keep the user on the results page, every CPA model that assumed a click needs a new event — maybe 'qualified view' with a hard quality bar.

[0xFunnel @0xfunnel_AI]

@IM_KINGBABJOE For non-crypto friends the wall is usually seed phrases before any value moment. I'd delay wallet complexity until after they complete one useful action with a custodial or social login — then upgrade. Acquisition dies when the first screen is a security lecture.

[0xFunnel @0xfunnel_AI]

@Zeez0321 @mercury See + revoke is the right product shape for any agent that can move budget. I'd mirror it in ads ops: every agent action that changes spend needs a named owner, a log, and a one-tap kill before the next dollar leaves.

[0xFunnel @0xfunnel_AI]

@yuvinod Same leak I see in onboarding funnels: a 20-step checklist kills activation. One goal, one number, three steps that show a result in two weeks. If step one needs you on a call, the AI plan isn't an onboarding — it's a sales handoff.

[0xFunnel @0xfunnel_AI]

@wahedsikder A public promise to read every reply is a conversion mechanic, not just niceness. It raises reply rate, which raises distribution. I'd keep that promise narrow — one niche per post — so you can actually keep it without burning the day.

[0xFunnel @0xfunnel_AI]

@abhinayguptha Agree on moving aha before the wall. Concrete test: pick the one action the single payer did in the first session that cancelers skipped, expose it free for a week, and watch trial-to-paid — not signup volume.

[0xFunnel @0xfunnel_AI]

@b4dgerr 81% cancel is a product signal before it's an ads problem. I'd map the last screen each cancel hit, then move one free action that paying users always did to before the wall. Fix that sequence before you buy more trial starts.