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Replit was building toward the AI coding era years before it had a name. In 2024, the company shipped an agent that could take a request in plain English, work through errors, provision its own infrastructure, and keep going until the software actually worked. The model companies even reached out to ask how Replit had pulled it off.
Co-founder and CEO Amjad Masad had been thinking about making programming radically more accessible since 2008, and Replitβs original pitch deck predicted AI-generated code before the Transformer paper was published. Today, that same technology is moving into banks, manufacturers, and other large companies, where Amjad says teams are replacing software projects once scoped at $10 million with $250,000 of Replit.
On How to Build the Future, @paulg sits down with @amasad to talk about why @Replit was so well positioned when coding agents arrived, what comes after vibe coding, and his bigger vision for the βself-driving company,β where AI agents increasingly build and operate the software a company needs.
00:00 - "You guys basically invented vibe coding"
02:43 - Watching users copy-paste from ChatGPT
05:27 - The origins of Replit
08:00 - People underestimate their ability to predict the future
10:27 - Grieving the craft
12:52 - A culture of obsessing over users
15:13 - Why enterprises pick Replit
17:28 - The agent was just another user
20:17 - It barely worked, and users loved it
23:13 - $10 million projects now for $250,000
25:45 - Sandboxing for humans
28:14 - "The self-driving company"
30:34 - The way AI flows into companies
33:28 - What Steve Jobs knew before the iPad
35:59 - Killing the sacred cow
38:25 - The rest of the world is two years behind
41:15 - The compute brought on AI
43:46 - The person who assumes dramatic change
Owner has raised $240M, reached a $2.3B valuation, and crossed $100M ARR.
Goldman Sachs Alternatives led the round, joined by Meritech, Redpoint, Headline, & Jack Altman.
The world is racing to build AI to replace peopleβs jobs. Owner is building AI to do the opposite:
Letβs celebrate together: I just hit 4 followers! π
Tour guide in Sapa by day, vibe coder by night. Building Tutafy in public, one commit at a time.
To my first 4: thank you for believing early.
Next stop: 10 π
#buildinpublic#vibecoding
I'm 29, and I just started vibe coding.
Now building in public: Gesaar, my AI SaaS project.
I want to learn from builders who've shipped one, and share what I learn as I go.
What do you wish you'd known before your first launch?
@X Nice to be here with @elon#buildinpublic
X AI ALGORITHM UPDATE π¨
X updated their open source algorithm yesterday and the early likes matter even more now. Small accounts should focus on: writing posts people hit like on and read till the end (so write to be read)
tl;dr:
- X's open source code got new scores on Nov 5, the first change in 3 weeks
- likes: 0.66 β 0.708 (highest yet)
- time spent on a post: 0.006 β 0.0075
- tapping into a post: 0.3 β 0.274
- opening a video: 0.02 β 0
- new rule: AI replies may get flagged under big accounts as "llm slop" and may not reach the person's notifications
lesson learned: a tap isn't the win anymore. Someone staying and liking is.
full details:
- The new numbers
Up: likes 0.66 β 0.708, time spent on a post 0.006 β 0.0075, shares 2 β 2.118.
Down: tapping into a post 0.3 β 0.274, staying 10+ seconds after a tap 0.4 β 0.385, opening a video 0.02 β 0.
"Not interested" got a bit harsher, -52.27 β -53.07.
Copy link, replies, quotes, DM shares and follows didn't move.
X didn't explain any of this. It's just what the code says now.
(I check the open source algo daily with Claude and share updates with you)
- Look at where this has gone in a month
In early October a like was worth 0.5. Now it's 0.708.
Time spent was 0.004. Now it's 0.0075, nearly double.
A tap was 0.3 and it's going down.
Every change points the same way. X keeps paying more for people who stay.
- Why that matters if you're small
My read: you can't win on big numbers, but you can win on the people who do see your post. If they stay and like it, that counts for more today than it did last week. And those early likes also decide which new post gets the extra push.
- Video and your profile
X also switched on two new guesses in its ranking: how long someone keeps watching after they open a video, and how long they spend on a profile after tapping it.
I can't tell you what those are worth. The only file that lists them is out of date, so I won't guess a number.
My read: opening a video dropped to 0 the same day because X cares more about people who keep watching. So make the first seconds count, and make your profile worth sticking around on.
- A new rule for replies under big accounts
X runs an AI check on replies under accounts with over 250K followers. Flagged replies can get a label that lasts 14 to 30 days. One of the flags is literally called "llm slop" (AI slop, as I read it).
That part isn't new. This is: X's rules now say a labeled reply or mention doesn't reach the person's notifications unless they follow you.
Grey badge accounts and accounts X rates as highly credible skip this label. Small accounts get no such pass.
I can see the rule, I can't see if every notification goes through it yet. Either way, write your own replies.
- What didn't change
Your new posts still get their extra push in the first 2 hours and first 200 views, and they still don't get cut first.
Here's a recap of what you should be doing:
- likes just hit 0.708, the most they've ever been worth
- each second someone spends on your post is worth 25% more than last week
- staying 10+ seconds after a tap earns 0.385 on top of the tap
- reply in your own words, under big accounts especially
- make your profile worth a visit, X now guesses how long people spend there
- for video, hold attention early, just getting the open now scores 0
- being read to the end also helps X find you new readers
- originals from accounts below 50K can jump to around spot 16
- early viewers liking it is what wins that lift
- your first 2 hours and 200 views are the window, so publish when your people are online
- the biggest single number is still 20, for someone copying your link
- quotes, DM shares and replies earn 5 apiece
- back and forth between mutuals is worth 20, so follow back your regulars
- strangers only get shown your originals
- the 1st like and the 32nd like each open another route to new people
- a second post of yours in the same feed drops to 62%, so make one count
- the video lists want clips over 10 seconds
- +4 when a post is likely to earn you a new follower
- your pinned post can affect the whole account, so take a look at it
What you should NOT be doing:
- pasting AI replies under big accounts, "llm slop" is a real flag at X
- copy-paste replies, a duplicate label means they never get notified
- chasing the tap, it's down to 0.274 and falling
- off-topic posts, one likely "not interested" costs -53.07
- a video that only gets opened earns nothing for the open
- publishing at 3am burns your 2 hour window
- relying on replies and reposts to reach new people, they stay with your followers
- getting an insult label, non-followers won't see that post at all
- low quality and misinfo labels bring a warning, and non-followers can't like or share
- adult media in 3 of your last 5 posts gets the whole account labeled
- X rechecks videos for hidden content at 64 and 512 likes
- piling your replies under a big account's post can sink your own score
- one label on the account and non-followers stop seeing you
- a link to a badly rated site in your pinned post risks a 7 day label
- reusing your own wording word for word risks the copypasta flag
- pairing a low quality link with tags of strangers looks like spam to X
- engagement bait gets labeled no matter how big you are
- posting several in a row, they fight each other for the same feed
- hashtag stuffing does nothing
- counting on bookmarks, they're worth 0
- expecting For You to show a post past 48 hours
Day one of shipping Tutafy π» Tutors juggle five apps and lose a cut of every lesson.
We put bookings, video, payments and AI tools in one place, and tutors keep 100%.
#buildinpublic
I don't care what people say about me, because I know exactly who I am.
I don't need to prove anything to anyone. Problems? They're just part of life. πΌ #Building#SaaS
Introducing Personal Finance in Claude, in beta in the US.
Connect the accounts you choose, and Claude answers your money questions in everyday language, from your own balances and transactions. Access is read-only, and Claude can't move, manage, or invest your money.
Today, we're introducing Agent Conversion Optimization β https://t.co/dKGRta1xuk
Muse, Instinct, Grok Bot already process $10B+ a year in GMV via agentic commerce. No GEO tool today tracks who they recommend.
So we built it.
Each agent behaves very differently from typical LLMs, so we track them separately, then Helena deploys the fixes.
1/ Daily tracking of who Muse, Instinct, Dots recommend, and why
2/ Share of recommendations vs your competitors
3/ Agent path to check out audit
4/ Fixes deployed by Helena to improve your discoverability
This is hard to do reliably with little bias given how these agents behave, so we're starting with only 100 initial customers.
Demo:
β¨ I replaced all these SaaS with my own vibe coded now, so about $25,000/mo savings:
- Weather API -> My own vibe coded weather service using Norway's meteorology API
- Image resizing API -> My own vibe coded image resizing API with NodeJS's Sharp + Redis (saves ~$1,500/mo)
- Google Vision NSFW detection -> My own $0/mo vibe coded NSFW detection service with Python's NudeNET (saves ~$2,500/mo)
- Cloudflare Streaming -> My own $0/mo Nginx VPS video streaming (saves ~$250/mo)
- API Flash -> My own $0/mo screenshot service (for social images) (saves ~$250/mo)
- New Relic + IPHub -> My own $0/mo error monitoring, DDOS blocking and fleet management service (called error2telegram) (saves ~$250/mo)
- Human moderators -> My own moderation on all my sites with @xAI (saves ~$10,000/mo)
- IFTTT -> Telegram bot (saves ~$100/mo)
- Photopea as editor inside Photo AI -> Vibe coded my own photo editor (saves ~$100/mo)
- Mapbox -> Vibecoded my own free replacement with OpenFreeMaps (saves ~$500/mo)
- Uptimerobot -> My own $5/mo Uptime Canary app running on Kuma (saves ~$50/mo)
- Ghost blog -> My own $0/mo blog platform
- Customer support -> @featurebasehq + AI support bot (saves $5,000/mo)
- Scrapingbee/SerpAPI -> My own $1/mo scraper with Patchright (save ~$250/mo)
I think I have reached my final limit of replacing my SaaS services as I have these left, but that'd mean becoming an ICANN registrar (I don't want π), managing my own email (I don't want), managing my own hard drives at home in a storage (I don't want) and managing my own servers at home too (I don't want) and running my own GPU rig at home (I don't want):
- Cloudflare Domains
- Cloudflare Email Sending
- Cloudflare R2 Storage
- Backblaze B2 for backups
- Hetzner for all my servers for all my sites (VPS)
- xAI for all LLMs for all my sites (so many things like moderation, writing emails, anything)
First Reddit. Now Upwork.
Two public companies admitted on earnings calls within a week that Google isnβt sending them traffic anymore.
Oct 29, Reddit: losing 1M+ Google referrals a week. The CEO said AI Mode βdoes not drive traffic.β
Nov 2, Upwork: the CEO blamed falling Google traffic for a 9% drop in marketplace revenue.
Upworkβs answer isnβt more SEO.
They launched an MCP server so AI agents in ChatGPT and Claude can post jobs and hire freelancers without ever visiting Upwork.
~50M agent calls since August!
Work started through it grew 150%+ month over month in October
If your growth depends on Google traffic, youβre next.