Today we’re launching Ask DoorDash — a new conversational way to search the app in your own words through chat, voice, a recipe link or photo. Ask DoorDash can build you a grocery cart ~5x faster than doing it manually. It takes a single prompt to complete your cart in under 2 minutes.
In early testing, nearly half of all restaurant orders made with Ask DoorDash were from a place the customer had never ordered from before, and grocery baskets built with Ask DoorDash were over 35% larger than those without. [1/3]
Q1 earnings season is just about done, and this Q has been great for software. Looking at the YoY growth in quarterly net new ARR added, this was the best quarter (by a long shot) in last ~5 years
Actioneer is featured in The India AI Edge report by @OpenAI and @z47_vc and @Zinnov, mapping the top AI companies building from the region.
The report studied 100M+ ChatGPT users and interviewed 100+ Indian CXOs.
Key findings include:
📊 ~49% of Indian enterprises are already mature AI adopters. Another 46% are early and the gap between the two is widening fast. This is an underrated trendline - AI adoption creates compounding competitive advantage
Mature organisations have 80% autonomous resolution in customer support. Early-stage ones? 55%.
Where in mature organisation, PMs are writing code with AI. Early-stage organisations are still running pilots.
The report identifies 4 enterprise archetypes:
1. Tinkerers: grassroots energy, no strategic direction
2. Enforcers: top-down mandate, weak execution
3. Democratizers: bottom-up scale, strong culture
4. Transformers: governance-first, highest maturity
This split ultimately comes down to whether the organisation had the infrastructure in-place to deploy AI at scale or not. Safe AI deployment at scale requires a governed context layer (clear definitions of business metrics, how they relate to each other, pre-defined output formats, clear data lineage, and operational playbooks for various internal workflows)
That's exactly the gap we're solving for at Actioneer, and are glad to be recognised in this conversation.
Read the full report here - https://t.co/4LFKkEcO0q
@vivekr94@sashank_v@TahaTinwala1@Anuj_Tandon@prateekmehta42@RTinkslinger
One of the finest humans I’ve had the honour of knowing. And the best gaming brain in India.
Our loss of @vivekr94 as a colleague << Value created for India gaming.
Vivek and @sashank_v are building something special at GameRamp.
And hiring across roles in BLR.
We are thrilled to announce our investment into GameRamp
GameRamp has raised a $5.4M Pre-Seed round led by BitKraft Ventures with participation from Mixi, Southpark Commons India, us (DeVC) & select Angel investors
Our former colleague Vivek R left Z47 last year to partner with
So apparently China has several top models now. I can understand India’s manufacturing challenges. I can understand the infra gaps.
What I can’t understand is how Indian IT giants sitting on billions have made no real AI progress while their core business is under direct threat. And they continue to peddle nonsensical visas and what not. That business is over!
And no I’m not talking about cash starved startups. No. This isn’t even about India. It just makes business sense to own SOTA models if you’re an IT leader with 100k+ employees. AI will eat your own business alive in ten years. It’s just common sense!
You have the cash. It’s sitting on your balance sheet. Use it. There’s absolutely no cope except that you’re intellectually lazy and nobody is calling this out
This is a historic L. Monumental mistake. One for the history books.
Big big blackpill lads I can’t lie.
The lack of short selling in Indian markets is causing potential market distortions.
Unless we make shorting of stocks easy in the Indian markets, price discovery will be impaired. India has been a structurally long-only market with almost no shorting activity, because borrowing stock to short is really hard and is an offline process.
Because of this long-only bias, there's probably very little short-selling talent as well, even if large funds want to start shorting. The only real way to short stocks until now was to use futures, maybe options. But there are only 224 F&O stocks, which means you can't short the vast majority of the problematic stocks. Also, these contracts expire every month, and the cost of rolling over these contracts is significant (only the 1st month contract is liquid).
Unless this changes, there will always be weird distortions in the prices of Indian markets. Short sellers, although they have a bad reputation, are massively underrated. Think of them as janitors; they clean up all the garbage in the markets and make them more efficient.
Securities lending and borrowing (SLB) is still an offline process, and most brokers don't offer an online option. Like everyone, we at @zerodha offer it, but you'll have to call us to borrow or lend, and there's a process, which means it'll never scale. Hopefully, we will have an online platform by the end of the year, and stock lending and borrowing will become much simpler.
Air superiority doesn't imply, or guarantee a loss loss rate of friendly aircraft. Even 'obsolete' air defense systems can deal damage to a superior air/naval fleet. This has happened in Iran, Kosovo, Afghanistan and in countless WWII battles.
Only Indians can pull a defeat from the jaws of victory.
It is not important or material if you lose a weapon during a war. It matters if you destroyed the enemy.
Alas. Bunch of video gamers.
@kmr_dilip 1) higher liquidity in secondary markets will help
2) said liquidity will open up post a level of capital traction which might not be correlated to ‘doing well’