Entrepreneurship

Late: 15 Questions Answered From the Starter Story Interview, With Timestamps

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Late is a social media API for developers and brands, and its founder grew it without any social media marketing, using only Google: pages that rank for buyer searches, plus paid search ads on the same keywords. In the Starter Story interview, founder Miquel reports crossing $40,000 in monthly recurring revenue about seven months after starting, with more than 700 paying users.

We transcribed the interview with transcribe.so and asked it the same questions we ask every episode. Each answer below is written in our own words and points to who said it and the exact second, so you can check it in the video. All figures are self-reported by the founder and we have not audited them. We are not affiliated with Starter Story, and we sell a transcription service. One note on the name: Late's website now points to Zernio, the product's name since the episode. We use the name the interview uses.

Who is speakingRole
Miquel, founder of LateAnswers the questions
Starter Story hostsOne asks the questions; a second joins him for the closing reflections

What does Late do and how does it make money?

Late wraps the official APIs of the big social networks (Founder, 01:38) and hands developers one API for scheduling and automating posts. It charges per connected account, on three plans that step up by how many accounts you connect (Founder, 02:01). There is also a simple scheduling dashboard that does everything the API does (Founder, 13:44).

What numbers does the founder share?

He says Late just crossed $40,000 in MRR (Founder, 02:16), about seven months after it started (Founder, 02:19); his opening line puts it at $30,000 in MRR in seven months (Founder, 01:20). He reports 50,000 signups since launch (Founder, 02:31) and more than 700 paying users, with churn he puts at under 10 (Founder, 02:34). He also says the app was profitable from day one (Founder, 00:11).

Who is the founder?

He spent more than five years on startups before Late (Founder, 02:56), including an online education company in Spain that raised venture capital and now has more than 100 employees (Founder, 03:04). The interview does not describe his technical background.

Where did the idea come from?

Building software products, he found no simple, affordable API for social media automation; the existing tools were too expensive, too complicated or badly documented (Founder, 03:14). The first paying clients arrived around August of the year before the interview (Founder, 02:24). The interview does not describe an earlier test of demand.

Who is the customer?

Developers building social media features, who need good documentation (Founder, 03:14), and brands that schedule content across platforms (Founder, 01:20). He finds them by what they type into a search box:

"There are people that are actively searching for social media scheduling API or Twitter automation tool." (Founder, 04:10)

How did Late reach $40,000 a month through Google alone, with no social media?

He decided social media was noisy and organic reach was dead for most businesses (Founder, 04:00), while people searching for a tool have far higher intent to buy (Founder, 04:16). So he put everything into search, organic and paid, for its predictable unit economics (Founder, 04:26), and reinvests all revenue into what works (Founder, 04:35). By his numbers, organic search brings more than $8,000 in MRR (Founder, 07:56) and paid search about $15,000 in MRR (Founder, 09:17).

"We focus 100% on high intent channels like SEO and Google searches because they have predictable unit economics" (Founder, 04:26)

How does the founder combine organic SEO and paid search ads?

One set of pages does both jobs: some rank on their own, and the ones that do not rank get ads (Founder, 06:21). On the organic side he targets bottom-of-funnel keywords with roughly 300 to 800 monthly searches and low competition (Founder, 07:09). On the paid side he bids on the same commercial keywords (Founder, 08:20), with a landing page for each ad group (Founder, 08:29), automated bidding toward a $120 target cost per acquisition (Founder, 08:41) and constant tests of headlines and pages (Founder, 09:03). The host sums up the loop: keywords that work in paid get more organic articles (Host, 10:15).

What single thing moved the numbers most?

No single post or launch. He credits the paid search engine, which he calls his guaranteed revenue engine (Founder, 08:10): about $8,000 a month in ad spend (Founder, 09:10) returning $2.50 for every dollar spent (Founder, 09:13).

What is the start-over playbook?

He gives five steps (Founder, 13:24):

  1. Pick core keywords that are high intent and close to your value proposition (Founder, 10:41), list them with volume and difficulty, and aim to rank within three to six months (Founder, 11:00).
  2. Write content for those keywords (Founder, 11:17): 10 to 15 strong articles in the first week to build momentum (Founder, 11:40).
  3. Launch ads on the same keywords and pages (Founder, 11:53), with three to five copy variations (Founder, 12:07).
  4. Scale what converts and raise the budget month by month while the return holds (Founder, 12:15).
  5. Track acquisition cost (Founder, 12:50). His benchmark: acquisition cost at about 24% of lifetime value, and under 30% of first-year revenue (Founder, 13:09).

Why does it win?

He fills a gap the incumbents left: an API that is cheap, simple and documented for developers (Founder, 03:14). And he sells only to people already looking for one.

"we are actually here capturing the intent that already exists, rather than are trying to create it through viral content" (Founder, 04:19)

How is it priced, and why?

Per connected account, on three plans (Founder, 02:01). The interview gives no plan prices, does not explain how the prices were chosen and mentions no price change.

What does it cost to run?

Ad spend is the big line, up to about $8,000 a month (Founder, 15:08). His keyword research tool is about $200 a month (Founder, 15:13); he also names an AI coding assistant and a revenue analytics tool without prices. The interview does not cover team costs or margins.

What went wrong?

He names no failed launch. His warning is about spreading thin: one channel done well beat being mediocre at ten (Founder, 15:39).

What is the founder's advice?

Stop trying to be everything to everyone (Founder, 15:35).

"just pick your single best lever for growth, get obsessed with it, and measure it relentlessly." (Founder, 15:49)

What did the hosts take away?

The host's view is that one channel can carry a business far past this size (Host, 16:03), and that search is not dead: only informational queries are, since people now ask chatbots those, while buyer searches still lead to purchases (Host, 17:50). The second host liked how systematic it is:

"Like we don't get lucky; like it's it's all math." (Host, 16:43)

What to copy

  • Sell to searches, not feeds. If people already type the name of your category into a search box, ranking and bidding on that phrase beats trying to go viral.
  • Write each page once, use it twice. A page that does not rank organically can still be the landing page for an ad on the same keyword, so no content is wasted.
  • Set a cost ceiling before you scale. A target cost per customer, checked against lifetime value, tells you when raising the ad budget is safe.

More from this series: agents as a distribution channel, free tools as an SEO engine, every Starter Story episode answered, and our free YouTube transcript tool if you want to run the same questions on any interview.

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