we just raised another $25M after 10x'ing our ARR in 5 months. the crazy part is this almost never happened.
17 years ago, I watched Iron Man as a 10-year-old kid in Delhi. that night, I pulled my first all-nighter teaching myself to code. not because I wanted to build apps or make money.
because I wanted to build Jarvis.
my parents gave me 1 hour of screen time per day. so I coded in secret, sleeping every alternate night through middle school and high school. built 50+ apps. got a cease and desist from Google at age 12.
all for this one obsession: making computers understand us like humans do.
fast forward to today:
- we've raised $81M total to build the voice operating system
- growing revenue 40% month-over-month this year
- 70% user retention after one year (unheard of in consumer)
- teams at 270 of the Fortune 500 use Wispr Flow daily
our Series A2 was led by @hanstung at @notablecap (who was an early investor in five companies that made it to $100B valuation like Slack, Tiktok, and Airbnb). we also brought on @StevenBartlett as an investor and partner.
but here's what matters more than the money:
we cracked voice input. not transcription - actual understanding. our users hit "send" in under 0.5 seconds without checking. they trust it blindly. that's never existed before.
in a recent benchmark, Wispr came out as 3-4x more accurate than OpenAI, ElevenLabs, and Siri.
and we're just getting started. voice input was step one. now we're building the assistant that actually does things for you.
to my co-founder @SahajGarg6 - there's no one else I'd rather build Jarvis with than my college roommate and closest friend.
to our team pulling all-nighters and shipping magic - you're the reason that 10-year-old kid's dream is becoming real.
we're hiring cracked engineers and growth marketers who want to build the future of human-computer interaction.
the keyboard had a good 150-year run.
time to build what comes next.
PS: like, retweet, and bookmark to get wispr flow for free for 3 months ❤️
— Written with @WisprFlow
@Object_Zero_ The number of facilities that adopt this mentality will also play a key role in the volumes and costs of production coming down! So how close we are to the 100% is going to matter
@Object_Zero_ Extremely curious to see how this plays out! I understand the facility wide philosophy that you are talking about but flexibility comes at a cost! (I.e reliability, price, maintenance over heads)! Let’s see how that plays out!
@myprasanna@sama Considering they want to use AMD for inferencing and that’s probably 17% of overall spend in the value chain(according to GPT:P) the AMD stock growth over next 5 years if it were to mirror a scaled down version of Nvidia would give openAI a 30Billion discount on the whole deal!
Dear VC kids (and many adults): it’s fine! You can be just a passive observer on board calls. It’s ok to not have a view rather than burden founders with your 0 execution, building and scaling experience backed ++ podcast and analyst report regurgitated insights. Cos when you do it two things happen: in the inexperienced founders case , they get shit advise which is hard for some of us to undo. The experienced founders just mentally start writing you off. So your value add is just basically value destructive for you or the co! Put the money in and be quiet, that’s the net positive EV decision. Please. Pretty please 🙏🏼
@adcock_brett@cixliv How is pushing your control systems to its limits theatric?😅
Would love to see some extreme whole body movement videos from you guys!:)
The way cash flows work today in India dont help put Robotics companies in the best position aswell! There isn’t a robust way to finance Robot deployments that is common like other industrial equipment (Example: Forklifts)! The acceptable payment terms across other equipment also put Robotics companies on the back foot here. Customers outside the country are way comfortable paying upfront, maybe driven by more large scale adoption or just what the industry is already used to
Very few companies play the long term game when it comes to Robot deployment! Most industries in India are focused on solving today’s problems(it’s obviously very important). The ROI computation is always based on how much labour you can replace today and this makes it a tough sell