Jacky Chou (buying online businesses up to $1m)
16.4K posts
@indexsy
We buy and operate incredible online businesses in public.
i refuse to believe codex has less users than meta coding products
I made $98,417 in July 2026. ⭐️ TrustMRR — $44K 📈 DataFast — $26K 🏴☠️ Ship or Die — $13K 🧑💻 CodeFast — $6K 🐥 Twitter — $4K ⚡️ ShipFast — $4K 🍜 Indie Page — $785 🛡️ ByeDispute — $132 🦐 SuperShrimp — $187 🧾 Zenvoice — $69 🎞️ YouTube — $102 🌱 HabitsGarden — $104 📚 WorkbookPDF — $38 ✂️ Margins: ~85% All-time high for my SaaS and my startup marketplace. Everything is built, designed, and promoted with my little hands while spending 2 hours a day in the gym, closing the laptop at 6 pm, and sleeping 8 hours. Keep going!
we replaced a departing customer service team with a bunch of if-else statements and AI handles 80% of the tickets. here's everything from this week: the custom software era is fully here. tom requests CRM features by text, "hey jacky I want this," and it ships same day. jacky's agency fulfillment is basically automated now: article generation for clients, audits, monthly reporting, all one click from an internal dashboard hooked to kimi K3. the take: stop renting one-size-fits-all SaaS. in 2026 you should be vibe coding your own tools and making small custom improvements daily. over time you end up with software built exactly for how you work. tony's customer service lead quit and jacky's immediate reaction was "isn't this the best time to one-shot a replacement?" text-based support is literally a rules engine: bought within 30 days, issue refund. AI handles 80% of tickets minimum, flags the ones that can be upsold, humans take the rest. if someone quits in 2026 the first question should always be "does this role even need a human anymore?" where AI still loses: whales. rank surge started as pure self-checkout, but the big spenders want a human on the phone before they buy. tom tried AI voice agents and the verdict is brutal: smart people can hear the AI instantly, and smart people are the whales. so tom un-retired himself from sales and takes every call personally. the stack right now is AI for fulfillment, humans for closing. that's the split that works. the AI webinar hack from tom: don't write your webinar from scratch. find someone who crushes webinars, transcribe their entire presentation, and have AI rewrite it for your niche. jacky's funnel needed it: 120 signups, 30 showed, 5 stayed to the pitch, 1 converted. the structure is the fix, and the structure is now a copy-paste job. the @nicksaraev lunch was a masterclass in AI-era content. he grew using 1of10, a tool that surfaces viral trending youtube topics to emulate. views exploded, revenue didn't. so he switched to documentation-style videos, "I used AI in this exact way in my business," and the money followed because it attracts buyers instead of viewers. he runs a $200K/month skool community completely alone, no ads, no upsells, answers comments in the morning and records videos. then he launched a dialer SaaS into that audience just by mentioning it in videos. ARR ripped to nearly eight figures in enterprise value with zero paid spend. the next SaaS meta: partner with creators who own mind share but haven't monetized. distribution is the moat now that AI killed product moats, so launching with a creator means banger after banger, guaranteed. the group chat plan for a mutual friend building her first product: bring a laptop to dinner, whisper flow her spec while she talks, hit build when she goes to the washroom, and show her the finished product before dessert. her timeline was six months. the real timeline is one dinner. NGMI with @itstonyyu and @tomwang24 — watch/listen ↓
