Keep pulling the thread on Anish Acharya.
In early-stage venture deals, Anish Akaya is very flexible on valuation, believing that below a certain threshold like $100 million, price is less important than securing participation in a promising company.
AI coding agents are dramatically lowering the complexity, time, and risk associated with migrating enterprise systems, such as from SAP to Oracle.
For the most successful AI-native companies, the cost of inference for free or trial tiers is effectively their new sales and marketing expense.
Since the release of ChatGPT, 75% of public market SaaS companies have raised their prices.
Anish Akaya predicts that software spending will eventually account for 80% to 90% of all discretionary consumer spending.
Andreessen Horowitz's investment model does not allow for much flexibility on ownership targets because its hands-on support model requires a significant partnership stake.
OpenAI recently reached a $20 billion top-line revenue run rate, achieved by tripling its compute capacity which was met by a corresponding tripling in revenue.
A new startup, rather than an incumbent like Adobe, is likely to win the emerging category of AI-assisted movie making.
San Francisco maintains a significant network effect for technology builders, making it an advantageous location for startups.
The small domestic market in Israel (10 million people) forces startups in Tel Aviv to adopt an international-first strategy from inception.
Large technology companies like Google and Apple have internal processes that prevent them from shipping products involving sensitive human experiences like persuasion, disagreement, or sexuality.
ServiceNow recently raised its financial guidance, demonstrating the strength of capable incumbent SaaS providers.