datafounders

datafounders - insights into building data science startups from their founders, investors, and experts. By @PeterZhegin & @IppolitDesign

[datafounders @datafounders]

18th episode is here. @plibin talked about ideation, customer development, motivation 2 start a company, going against the dominating narrative, the post-COVID transformation, & other themes. 🎉 @mmhmmapp & @SoftBank, @sequoia, @Mubadala, @HumandotCapital https://t.co/9KdEvd7DsK

[Costanoa Ventures @costanoavc]

WATCH: @Bigeyedata co-founder & CEO @KyleJamesKirwan, talked with @datafounders about his work at Uber, founding a company, exciting changes to look out for in the #datastack, product management and more! 👇
https://t.co/D6BhVTZRDE

[datafounders @datafounders]

A great story from @bubble, three things we’d highlight:
1) entrepreneurship is not fast
2) u will likely raise VC, even after successfully bootstrapping
3) the leading firms like @insightpartners reach out to founders, build your thing and you will not stay unnoticed

[Peter Zhegin @PeterZhegin]

Nothing about entrepreneurship is fast
‘founders… spent 7 years bootstrapping and tinkering with the product… Insight was the first venture firm to reach out to Bubble all the way back in 2014. Seven years on, the two have now signed and closed a deal.’ https://t.co/ZSfAM1VQ49

[datafounders @datafounders]

Have a look at these retention benchmarks by @lennysan

[Peter Zhegin @PeterZhegin]

A nice retention benchmarks by @lennysan. No special bucket for ML/DS-heavy software, but from what I see retention there is within the Enterprise SaaS bucket; If it’s about APIs or close to the hardware stack layer it’s above 90% https://t.co/jXMARhJDaM

[datafounders @datafounders]

A great article by @jasonlk on how to identify a weak investor syndicate
https://t.co/8EoYCPvOG8

[datafounders @datafounders]

🙏🙏🙏 @BM_DataDowntime, @aikarjal, @ae4ai, @_silverhare @nicolas_hrd, @nikola_mrksic, @gdibner, @paul_alex_pop, @PAMcNabb, @DISUPOV 2/2

[datafounders @datafounders]

After emerging from a digital detox we've made a list of our fantastic speakers and their startups/funds, have a look, a great bunch to follow - 🙏🙏🙏 @KyleJamesKirwan, @patrick_j_short, @kashgupta_, @surbhirathoree, @matthew_ford1, @fb_ldn, @tasabat, https://t.co/sF8N5Ov02G 1/2

[datafounders @datafounders]

If you follow the data stack, check our talk w @KyleJamesKirwan a co-founder of @Bigeyedata, a data quality startup backed by @sequoia, @costanoavc, etc. We talk about work at Uber & founding a company, trends, customer development, product mngmnt, sales https://t.co/fWrwonkfTc

[datafounders @datafounders]

Don't miss it! @BM_DataDowntime @surbhirathoree could you spread the word?

[Priyanka Somrah @psomrah]

Hey Enterprise Techies 👋🏽

I'm hosting Office Hours for Women Founders in Enterprise Tech this Friday, 6/25 from 10am - 11am ET 🚀

RSVP 👇🏼 & come chat about all things enterprise tech + GTM.

https://t.co/qkkRYiabXH

[datafounders @datafounders]

Startups don’t make money, they said.
Startups burn billions, they said.

[comma @comma_ai]

We raised a total of $8.1 million in 2016 and 2018.

Today we are proud to announce...
We've made more in revenue than we ever raised!

[datafounders @datafounders]

A useful approach/data to help with market sizing for your enterprise software startup by @Deloitte
https://t.co/GMA10bZqWS

[Symbl.ai @symbldotai]

Our CEO and co-founder, @surbhirathoree, spoke with @datafounders on:
👉 What the transition from corporate to entrepreneurship was like
👉 The #NLP market opportunities
👉 Horizontal vs vertical platform approaches
👉 and more!
Check it out! https://t.co/uHMPjcCsM4

[datafounders @datafounders]

Resonates to what we’ve heard from @matthew_ford1 - ‘... it sounds cringy now, but we [founding team] had a very simple rule based algorithm, that got us where we needed to get to...’, the full interview - https://t.co/HkZJQPayg0

[datafounders @datafounders]

The ‘...starting point does not even need ML to deliver user utility. This means that [startups] could initially invest more into their non-ML-related product offering’ - some interesting ideas about DS startups by @vietdle / @lafamigliaVC https://t.co/D6egALXwGk

[Peter Zhegin @PeterZhegin]

Great #bootstrapping thread

[datafounders @datafounders]

We talk a lot about product-market fit at @datafounders. @onecaseman shared some great ideas about how to measure it and summarised two approaches to achieving it. https://t.co/u1o4Zx9Ztf

[datafounders @datafounders]

A nice note on product-market fit by @micahjay1, 'PMF isn’t a Holy Grail; it’s a never-ending quest that takes new forms at different stages of the business' - resonates with some ideas from @surbhirathoree - don't miss her interview w us on Thursday 27th
https://t.co/mN7ujaiX3H

[datafounders @datafounders]

We r back! More fantastic speakers join us, and we will be releasing interviews regularly. Join us for talks with founders: May 27 - @surbhirathoree #NLP, June 17th - @kashgupta_ #DataWarehouse, and July 8th - @patrick_j_short #Bioinformatics. Subscribe: https://t.co/oD5nmfIMLm

[datafounders @datafounders]

14 interviews with founders & investors done🎇. On track to 30K YouTube views.
We see interest to public & invite-only events with fellow entrepreneurs, data science enthusiasts, & investors.
Sign up 2 be a part of it & help 2 make @datafounders better:
https://t.co/oD5nmfIMLm

[datafounders @datafounders]

A new talk: @matthew_ford1 a Partner @mourocapital and founder @Pariti_finance talked to us about opportunities for #DataScience #startups in #fintech: 3 fintech themes, end2end vs software, how to identify a problem worth solving via DS, ideal team, etc.
https://t.co/HkZJQPayg0