Newsletters outsell social: Eunice Tan on building kawara.ai
with Eunice Tan, Kawara AI
Newsletters outsell social: Eunice Tan on building kawara.ai
Show Notes
Eunice Tan joined this episode at 2am her time - which tells you something about the founder. She is the CTO and co-founder of Kawara AI, a Berkeley-educated engineer with seven years in tech and a clear-eyed thesis about where the creator economy and entrepreneurship are converging. The central insight: the most successful creators do at least 60% of their sales conversion through newsletters, but the smallest and newest creators have no idea. They are out there grinding on short-form video and hoping the algorithm is kind, while the founders who have figured out the game are sitting on owned audiences that compound quietly every week.
Kawara AI is built to close that gap. It automates newsletter creation for solopreneurs - pulling from your YouTube transcripts, content you consume, and your defined goals and audience - and generates drafts modeled on the formats that have made Ali Abdaal, Justin Welsh, and James Clear into newsletter powerhouses. The company is bootstrapped, under $1,000 in external spend, and at 50 paying customers three weeks after being discussed publicly. Eunice and co-founder Joy (a creator herself) are building the infrastructure for a future where every business is content-led and every founder is, at some level, an influencer.
Why Newsletters Outconvert Social
The data point that anchors Kawara's thesis came from a user: a YouTube creator with 51,000 subscribers and only 2,000 newsletter subscribers - a 25x size difference - was seeing twice as many coaching call bookings from the newsletter. The reason is multi-touch conversion. Nobody books a $300 call the first time they see a creator. They watch a few videos, read several newsletters, develop an opinion that this person is an expert - then book. The newsletter creates a weekly touchpoint that compounds trust in a way a YouTube algorithm cannot replicate, because the algorithm decides when (and whether) your video appears in front of someone who has already expressed interest.
Newsletter subscribers are also a fundamentally different asset than followers. Someone who actively subscribes to an email list has opted into a relationship with the creator. They are not accidentally scrolling past - they chose to be there and they expect to hear from you. That is the definition of a curated sales pipeline, and it is why Eunice describes newsletter subscribers as more valuable per person than any social following, regardless of the size difference.
5 Frameworks from This Episode
1. Owned Audience vs. Rented Audience
- A YouTube channel, Instagram following, or LinkedIn audience is rented - the platform decides who sees your content, on what schedule, and can change the rules at any time
- An email list is owned - you have a direct relationship with each subscriber that no algorithm can interrupt or deprioritize
- Creators who have built 100,000+ social followers and then watch a video get 800 views understand this viscerally; newsletter subscribers compound because you reach them every single week by default
- The practical implication: every piece of social content should have a conversion path to an email subscription - social is the top of funnel, newsletter is the relationship
2. The Multi-Touch Conversion Model
- High-consideration purchases - coaching calls, courses, consulting engagements - do not convert on first exposure; they require repeated trust-building across multiple formats and timeframes
- Newsletters are uniquely suited to this: weekly delivery creates a predictable, consistent touchpoint that video and social posts cannot replicate at the same cadence
- Eunice's user data shows 2x booking rates from newsletters compared to YouTube for the same creator, despite the newsletter list being 25x smaller - the quality of intent per subscriber is categorically different
- The formula: social content builds discovery, newsletter converts discovery into relationship, relationship converts into purchase
3. Users Say They Want Control - They Actually Want to Feel It
- Eunice's biggest product insight from her previous startup: humans dislike feeling constrained, but they equally dislike making too many choices - both produce friction that reduces completion
- The paradox: when you give users full control (extensive customization, open-ended prompts, long option menus), they experience choice paralysis and take longer to reach satisfaction
- The correct design response is not no control - it is the appearance of meaningful control with a small number of high-leverage choices, while the system handles everything else
- For AI products specifically: show users what the agent is doing (builds trust without requiring them to actually read it), then let them intervene at one or two clear moments rather than continuously
4. The Human-AI Trust Ramp
- Even if you can build a product that works like magic, you cannot ship it that way to first-time users - they need evidence that it is not doing something wrong or unexpected
- Successful AI products show the agent's thinking during early interactions: most users do not read it, but having access to it is what lets them trust the output
- Over time, as users develop confidence, the visible process can recede - but removing it before trust is established creates abandonment, even if the output quality is identical
- The analogy: it is exactly like onboarding a new hire - you spot-check their work at the start, and only after a track record do you let them operate autonomously
5. Content-Led Sales Infrastructure
- Kawara's core thesis is that future businesses - including startups - will all be content-led: building audience before or alongside building product
- The newsletter is the highest-ROI channel in this model because it combines owned distribution, high attention quality (people read email at their desk, on purpose), and a curated audience that self-selected into your funnel
- The solopreneur is the target because they have the clearest version of the problem: one person doing content creation, sales, customer success, and product development simultaneously, with no team to absorb the newsletter production burden
- The long-term Kawara vision extends beyond newsletters to multi-platform posting, affiliate/sponsorship matching, and potentially payment processing for the coaching and consulting revenue that newsletters are generating
Founder Experiment: The Newsletter Conversion Audit
Step 1 - If you have a newsletter, add one question to your next issue. Ask your readers: "How did you first hear about me, and what made you decide to subscribe?" Track how many paying customers or booked calls come from newsletter readers vs. social. Most founders have never done this math - the answer is usually surprising.
Step 2 - If you do not have a newsletter, calculate your conversion rate across every channel you currently use. Views, followers, and impressions are vanity metrics - what matters is: of everyone who encountered you on each platform, how many became paying customers? For most founders, the answer on social is far lower than they expect.
Step 3 - Identify one piece of content you created this week that could become a newsletter. The format Eunice and her users have found most effective is storytelling-based - personal opinion, what you read, what made you think - not product announcements or formatted company updates. Write it as if you are emailing a smart friend, not publishing a press release.
Step 4 - Study one successful newsletter in your space. Ali Abdaal, Justin Welsh, and James Clear are Kawara's template references. Subscribe, read three months of archives, and identify the structure: how long are the issues, what is the hook, where does the call to action appear, and how personal does it feel? Reverse-engineer the format before you try to develop your own voice.
Step 5 - Set a 60-day test with a specific conversion goal. Not "grow my newsletter" - something measurable: book 3 coaching calls, generate $500 in affiliate revenue, or convert 10 newsletter subscribers to product trial. Track the result. If newsletters outperform every other channel (which Eunice's data suggests they will), double down. If they do not, adjust the format before concluding the channel does not work.
Glossary
Tools & Resources Mentioned
Q&A
What is Kawara AI and what problem does it solve?
Kawara AI is newsletter automation for solopreneurs and creators. The problem it solves: the most successful creators convert 60% or more of their sales through newsletters, but smaller creators do not know this and do not have the time to consistently produce them. Kawara connects to a creator's YouTube channel (and other content sources), pulls transcripts and themes, and generates newsletter drafts in proven formats - modeled on Ali Abdaal, Justin Welsh, and James Clear - so the creator can quickly edit and send rather than staring at a blank page every week.
Why do newsletters outperform social media for sales conversion?
Two reasons. First, newsletter subscribers are a curated sales pipeline: they actively chose to hear from you, which makes their intent categorically higher than someone who scrolled past a video. Second, high-consideration purchases require multi-touch conversion - nobody books a $300 coaching call the first time they see a creator. The weekly newsletter creates consistent touchpoints that compound trust in a way a social algorithm cannot replicate, because the algorithm decides when (or whether) your content appears. Eunice's user data: a creator with 51,000 YouTube subscribers and 2,000 newsletter subscribers was generating twice as many coaching bookings from the newsletter.
What is Kawara's content curation feature?
Users can connect not just their own YouTube channels but any creator's channel or content source, labeled as external. When Kawara generates a newsletter draft, it treats external content as curated recommendations - writing in a personal voice, something like 'this week I watched Joy's video on starting a startup and it made me think of a few things.' The feature is designed for the newsletter format that Eunice says performs best: personal curation and storytelling rather than formal company updates or product announcements.
What did Eunice learn about user control from her previous startup?
Her biggest product lesson: users say they want control because they do not want to feel constrained, but giving them too many choices creates paralysis - more barriers to the satisfaction of getting the job done. The correct design response is building in the appearance of meaningful control at a few key moments, while the system handles everything else. For Kawara, this means preset templates with light customization rather than an open-ended prompt box - users feel the product adapts to them without having to make a dozen decisions before they see a draft.
How does Kawara handle the human-AI trust problem?
Eunice's observation from watching AI products launch and succeed: you cannot ship a product that works like magic without first showing users what it is doing. About 80% of users do not actually read the agent's reasoning when it is displayed - but the fact that they can see it is what lets them trust the output. Over time, as users develop a track record with the product, the visible process can recede. Skipping this trust-building phase at launch - even if the output quality is identical - produces abandonment. The analogy she uses: it is exactly like onboarding a new hire.
How did Kawara find its first customers?
Through co-founder Joy's creator network. Joy is a creator herself, which gave Kawara immediate access to creator communities and events where the target customer actually spends time. Many of Kawara's early design partners came from Joy's personal network, and a significant number of those became paying customers. Content marketing on YouTube has since become the biggest new-user acquisition channel - people discover the Kawara product from content about it, not just from direct outreach. Warm referrals from existing customers have also been strong.
What models does Kawara use and why did they choose Anthropic for drafts?
Kawara uses different models for different stages of its pipeline - summaries, insight extraction, and final draft generation are each handled by different LLMs depending on which performs best for that specific task. For the final newsletter draft, Eunice said Anthropic's models produce the most human-sounding output, which is the single most important quality for a newsletter - it has to feel personal and conversational, not like it was written by a machine.
What is on Kawara's roadmap beyond newsletters?
Three expansions. First, multi-platform posting - helping creators distribute content to wherever their audience is (LinkedIn, Instagram, X) not just via email. Second, affiliate and sponsorship integration - surfacing relevant partnership opportunities that can be woven into newsletters in a way that feels genuinely useful to readers rather than salesy. Third, payment processing for solopreneurs running coaching businesses who currently collect payment via Venmo or informal links - Kawara wants to close the entire content-to-cash cycle, not just the newsletter creation step.
What is Eunice's experience as a female CTO in tech?
Generally more positive than the stereotype, with specific patterns at the investor level. Eunice said females are sometimes read as 'too nice' or 'easily pushed over' in investor settings - a perception that has nothing to do with capability. The flip side: those same qualities - genuine warmth, coming across as real and down-to-earth - were a significant advantage in winning early design partners when Kawara was unknown and getting people to respond required standing out as trustworthy. She also noted the 95% male ratio at most tech conferences as a cultural friction point, though she finds that once conversations move into technical specifics and facts, most of that disappears.