mritchie712

8 ms·

91.
by mritchie712 1y ago
I'm with you. My favorite sci-fi is something like Project Hail Mary, which is radically different from fantasy.
92.
by mritchie712 1y ago
DeepSeek released smallpond 0 - https://github.com/deepseek-ai/smallpond 1 - https://www.definite.app/blog/smallpond (overview for data engineers, practical application)
93.
by mritchie712 1y ago
We started giving our ( https://www.definite.app/ ) agent a sandbox (we use e2b.dev) and it's solved so many problems. It's created new problems, but net-net it's been a huge improvement. Something like "w
94.
by mritchie712 1y ago
for many uses cases, you can cache a dataset client side that can be re-queried to avoid network calls
95.
by mritchie712 1y ago
Yes, we run DuckDB + DuckLake in prod for https://www.definite.app/
96.
by mritchie712 1y ago
Really excited about the future of DuckDB: 1. DuckLake is the best datalake spec and their team is improving on the extension rapidly. 2. With DuckDB WASM, you can make apps that would normally have 2 to 3 second latency for network calls w
97.
by mritchie712 1y ago
if you've ever worked with Excel + Python, I think this example will drive home the value a bit: https://github.com/anthropics/skills/blob/main/document-skil... There are many edge cases when writin
98.
by mritchie712 1y ago
this is the best example I found https://github.com/anthropics/skills/blob/main/document-skil... I was dealing with 2 issues this morning getting Claude to produce a .xlsx that are covered in the doc abo
99.
by mritchie712 1y ago
It's the right move if they want to IPO. The "modern data stack" market excluding of data warehouse / data lake is pretty small. Fivetran is biggest one and still under $500M in revenue, so they're acquiring other p
100.
by mritchie712 1y ago
they used GPT-4.1 nano, results would be quite different with sonnet or gpt5.
101.
by mritchie712 1y ago
CC also has the same `/compact` command if you want to force it
102.
by mritchie712 1y ago
do you have a video of someone using it?
103.
by mritchie712 1y ago
Yeah, we're working on it. I'd prefer to by compute hours, but it's hard for people to know how many hours they'll need.
104.
by mritchie712 1y ago
it'll be interesting to see what happens with n8n over the next few years. On one hand, a ton of people are using it to build AI workflows. On the other, it's never been easier to build a similar workflow in Python with Claude Cod
105.
by mritchie712 1y ago
huh? they can block the bots
106.
by mritchie712 1y ago
how many GB does an app packaged with Qwen3 600m + Cactus take up? e.g. if I built a basic LLM chat app with Qwen3 600m + Cactus, whats the total app size?
107.
by mritchie712 1y ago
Have you used Claude Code? How does it compare?
108.
by mritchie712 1y ago
For the comment above, the more relevant denominator is all humans vs. all developers. If you use all humans as the denominator, he's easily in the top 1% or 0.001% (I haven't followed his work closely, but you'd only have to
109.
by mritchie712 1y ago
yeah, I think you could get much of the benefits if Iceberg (or ducklake) added support for `.vortex` (e.g. ducklake only supports `.parquet` right now)
110.
by mritchie712 1y ago
$2.3M–$3.7M per year gross revenue: Putting it together (podcast‑only) Ads (STM only): 0.85 – $0.95M Memberships: $1.5–$2.6M/yr Working estimate (gross, podcast‑only): $2.3M – $3.7M per year for ads + its share of memberships. Mid‑case
111.
by mritchie712 1y ago
I was curious how much revenue a podcast I listen to makes. The podcast was started by two local comedians from Phoenix, AZ. They had no following when they started and were both in their late 30's. The odds were stacked against them,
112.
by mritchie712 1y ago
who is it? give them a plug, seems like it works well.
113.
by mritchie712 1y ago
are they locked-in tho? People loved Arc, but they killed it. Doesn't seem the reviews of Dia are all that great.
114.
by mritchie712 1y ago
How does the scraper work? e.g. LinkedIn aggressively blocks scraping and you'd need to be logged in to see most things you'd care about. How do you handle that?
115.
by mritchie712 1y ago
I agree it doesn't make sense. I'd think they could alias their own tools to match Anthropic's, but my guess is they don't want to customize too heavily on any given model.
116.
by mritchie712 1y ago
CC being better than Cursor didn't make sense to me until I realized Anthropic trains[0] it's models to use it's own built-in tools[1]. 0 - https://x.com/thisritchie/status/1944038132665454841 1- h
117.
by mritchie712 1y ago
an effective "vectorless RAG" is to have an LLM write search queries against the documents. e.g. if you store your documents in postgres, allow the LLM to construct a regex string that will find relevant matches. If you were searc
118.
by mritchie712 1y ago
we[0] have a pretty complex agent[1] running on Pydantic AI. The team is very responsive to bugs / feature requests. If I had to do it over again, I'd pick Pydantic AI again. 0 - https://www.definite.app/ 1 - htt
119.
by mritchie712 1y ago
We[0] support Google Sheets as a source out of the box[1]. We have connectors for 500 sources and can grab data from anything with an API. Definite spins up a datalake for you and pipelines to get data into the lake. We also have BI (semant
120.
by mritchie712 1y ago
this is why I liked Looker. The only way to build reports was from the semantic layer which was easy to use and built into the BI. we took the same approach when we started https://www.definite.app/ .

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