
A social network for short public posts and real-time conversation.
Twitter kept working through nine heads of product in two years, which Verrilli reads as real product market fit plus network effects. Yet changes were slow: the 140 character limit outlasted working group after working group, and editing took another two and a half years. Lesson: judge fit by user fervor, not graphs, and make hard product calls instead of running another design sprint.
From Verrilli on his time at Twitter
Twitter's product market fit showed in user fervor, not in graphs. Verrilli says you could feel how much people loved Twitter even while the organization was chaotic. It kept working through nine heads of product in two years.
He reads this as real product market fit and network effects surviving a badly run organization, including wholesale changes later on. His test is emotional fervor rather than 'the graphs look okay'. Quote: "if you manage to bottle lightning doesn't matter how badly you screw up the organization".
Twitter needed years of working groups to lift an obvious limit. Everyone knew the 140 character limit had to go. Japanese users tweeted six times more often because kanji fits more in the same space, yet no one wanted to decide, and it lifted almost two years after Verrilli left.
Editing tweets took another two and a half years after that. Verrilli's view is that endless working groups signal weak leadership, not real complexity, and that nobody died when the call was made. Quote: "most of the time you hear it's really complex. It isn't. Leadership's just weak."
Its 'refine the core' strategy and ranked timeline restored daily user growth, but hardened fear of bold bets around sacred cows like the ranked feed, 140 characters and reply control. Hide replies, Birdwatch, Fleets and Spaces came from challenging those, and a broken SMS verification flow was found to block sign-ups in countries like the UAE.
Twitter's product market fit showed in user fervor, not in graphs. Verrilli says you could feel how much people loved Twitter even while the organization was chaotic. It kept working through nine heads of product in two years.
He reads this as real product market fit and network effects surviving a badly run organization, including wholesale changes later on. His test is emotional fervor rather than 'the graphs look okay'. Quote: "if you manage to bottle lightning doesn't matter how badly you screw up the organization".
Twitter needed years of working groups to lift an obvious limit. Everyone knew the 140 character limit had to go. Japanese users tweeted six times more often because kanji fits more in the same space, yet no one wanted to decide, and it lifted almost two years after Verrilli left.
Editing tweets took another two and a half years after that. Verrilli's view is that endless working groups signal weak leadership, not real complexity, and that nobody died when the call was made. Quote: "most of the time you hear it's really complex. It isn't. Leadership's just weak."
Had nine heads of product in two years yet kept going, which Verrilli reads as real product market fit and network effects. The 140 character limit took working group after working group and lifted almost two years after he left. Tweets in Japan were six times more frequent, and editing took another two and a half years.
It beat FriendFeed by focusing on getting celebrities on, with Obama, Ashton Kutcher and Oprah joining in one summer, despite its fail whale outages.
Copying the LinkedIn approach there built a better following, but it never converted into users, and he called cross-posting a waste of time.
An early Floodgate bet whose team never used the business model canvas. It used tweeting birds as language, not 'Microblogs, Inc.', and Mike advised Ev Williams not to raise much money, but Williams raised a lot anyway and it worked.
Bangaly advised Twitter as a startup advisor and carried the understand-first approach there from Facebook and Instagram.
Kunal says it is designed to reward outrage and asks about profit far more than his investors ever have, so he reads little into it.
Its ICP was experts plus their followers, and media organizations like the NFL, NBA and HBO were an unseen 30% of customers. Activation is following or being followed, and it survived losing most staff because of network effects, with revenue as the weak point.
Twitter was Figma's single early channel because designers already lived there. Dylan scraped follower graphs to find design influencers, and the team asked them for feedback by DM rather than pitching.
People use it for different innate desires, like being informed or feeling less lonely. Ryan opened his DMs to founders and posts anonymized answers every three or four days as micro blog posts.
It contacted a client who used Periscope in a US app title as a keyword, showing that big brands will enforce against competitor brand keywords even after store approval.
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