For folks wondering why Series B specifically: Pre-seed is testing Seed is product-mkt fit
Series A is cost & model efficiency
Series B is scale
STARTUPS
-
Series B Funding: Scaling Phase After Product-Market Fit
By
–
-
Series B AI Startups Shift Focus to Enterprise Monetization Strategies
By
–
Seeing more Series B AI startups without strong monetization have to double down on enterprise use cases like this and restructure their GTM teams. LLMs are too expensive to maintain both for free (unless you have $100M+ in funding).
-
SAFE Conversion at $155M Valuation: Founder-Friendly Terms Analysis
By
–
Wait. The investors financed the early phases with SAFEs.
Went founder friendly with no caps, nor interest, nor timing on the safes And now get converted at a latestage $155m cap? -
Legal overhead in startup funding rounds slows down investment process
By
–
Without a skipping a beat always the biggest overhead. A recent raise. 35 emails between the startup’s and my lawyers exchanging documents to get everything done. I didnt even invest in that round
-
Stability AI hosts NYC event promoting open source AI
By
–
Great event last night in NYC with @LightningAI @EMostaque to keep AI open source. Thank you all for joining us #StabilityAI #AIcommunity
-
UntetherAI Wins Samsung Tech Business Year Award 2022
By
–
Excited to announce that @UntetherAI has been awarded the @Samsung Tech Business of the Year 2022 award by @canadian_sme and @googlecanada
! Thank you to our team, clients, and partners for their support as we continue to push the boundaries of #AI processing capabilities! -
hansolo VC leads funding rounds in AI startups
By
–
Yeah but what about rounds led by hansolo VC? 🙂 cc @ncsh
-
AI Chip Startups Face Setbacks Amid Market Challenges
By
–
Some of the hottest chip startups are now hitting snags. Graphcore laid off 160 people last year as a deal to supply Microsoft fell through, and SambaNova also went through some layoffs earlier this year. Cerebras has pushed hard into LLMs with its own OSS LLM models.
-
Nvidia’s Dominance: Why Startups Failed to Compete
By
–
With Facebook's announcement yesterday, the biggest players in the AI industry have coalesced around Nvidia for training. A pack of startups once sought to beat Nvidia, but the dream of beating Nvidia is a much taller one than imagined in 2016-2017.
-
Capability thresholds for AI regulation and frontier model safety
By
–
regulation should take effect above a capability threshold. AGI safety is really important, and frontier models should be regulated. regulatory capture is bad, and we shouldn't mess with models below the threshold. open source models and small startups are obviously important. https://
t.co/qdWHHFjX4s