I've built products that solve my problems and have released one, Intraview.ai -- it's functional, solves a real problem for me and my customers.
That said, as a business goes, it's not a sensation but it's gone from idea to customers using it in less than 6 months. Is it a VC hit, no -- am I happy with where it is and how fast I'm learning -- absolutely!
I think it's said in other words elsewhere but the "picked" state needs to be clearer that it's picked up. What may be helpful is to actually add a drop shadow/scale/border and ideally there should be a hole where it was that makes it clear that you are holding it.
Not trying to diminish, but this pattern has other uses already. Anyone who builds accessibly for folks who use keyboard and no mouse.
Tab/arrows to highlight, Enter to select, Arrows to move, Enter to drop.
I'm a huge fan of the general space and I think this is a really solid approach vector to learn what user problems exist in this design.
I'll dump a few thoughts as they come for the creators, feel free to riff with me on the thread if that'll be of value.
My perspective, as a User, is I'm interested in rooting out bias and where it's coming from. Moreover, the influence networks are fascinating as well.
I think, for example, understanding which publications "picked up" a story vs didn't is very very viral use case as you could imagine people using you as a backdrop to a social post about editorial bias. That said, I think you need to pick who you serve because the folks who will be interested in this aren't the average person as they're not super news focused.
One way to learn may be looking at the types of meta-stories posted about the analysis on media and see how you could support those types of ongoing analysis. Scoring, honestly, is an another really interesting idea. What are publications "for" or "against" based on how they do editorial, and how they bias their headlines, and ledes.
Yea I feel you... Honestly I kinda just whipped this thing up in context of a larger project I'm working on.. so i have not given much thought to who it will serve. "rooting out bias" is interesting idea... But a bit negative in nature, I was more hoping to identify & highlight the original/powerful sources of news...
I agree with the article’s core point that placement matters.
The useful framing is not “where can we bolt on AI” but “what does the system look like if AI is a first-class component.” That requires mapping the workflow, identifying the decision points, and separating deterministic steps from judgment calls.
Most teams try to apply AI inside existing org boundaries.
That assumes the current structure is optimal. The better approach is to model the business as a set of subsystems, pick the one with the highest operational cost or latency, and simulate what happens if that subsystem becomes an order of magnitude more efficient. The rest of the architecture tends to reconfigure from that starting point.
For example, in insurance (just an illustration, not a claim about any specific firm), underwriting, sales, and support dominate cost. If underwriting throughput improves by an order of magnitude, the downstream constraints shift: pricing cycles compress, risk models refresh faster, and the human-in-the-loop boundary moves. That’s the level where AI changes the system shape and acts beyond the local workflow.
This lens seems more productive than incremental insertion into existing silos.
Thanks for sharing the longitudinal brain-development framework from the Cambridge study. However, I don’t see strong direct practical value for an individual or educator in the life-stage breakdown (~birth–9, ~9–32, ~32–66, ~66–83, ~83+) beyond broad observation.
In contrast, frameworks from learning theorists such as Vygotsky, Piaget, Bloom, Gagné, Maslow, Bruner and Kolb provide more explicit actionable guidance for parents/teachers (e.g., scaffolding learning in the “zone of proximal development”, designing spiral curricula, applying experiential learning cycles).
My perspective guides me to prefer the pragmatic actionable frameworks. That help someone guiding children (or students) set norms, limits and scaffold growth in daily practice.
I do like the conversation that's cropping up here though from this article. A lot of lovely self-reflection.
A few months ago we'd had Disney+, Paramount+, Hulu, HBO Max but we've cut back to Netflix and YouTube premium.
Switched to purchasing and renting when there's something we want to watch that isn't available and we're finding it to force us to be more conscious of what we're watching.
We're considering ditching Spotify and music streaming to return to buying albums so our children can start to be more thoughtful listeners. After falling down a rabbit hole of some insider music vlogs, I recognized how much streaming is harming independent music.
They could also consider making manual youtube playlists and setting up a media computer with something like TubeArchivist. Selfhosting youtube is the only actually useful thing in my "homelab".
I'm only mentioning this because for years I've been making music playlists and archiving them. When you come back to them on youtube a few years later a few songs are always gone/ unavailable. Some of my favorite songs don't exist on yt anymore
YouTube does a really good job at making playlists on the fly. Choosing the first song on YouTube will get you a playlist of somewhat similar songs. It took me a while to get used to relative to Spotify but now I much prefer the YT method.
Spotify is so cheap that it is worth it for the convenience alone. Not to mention Spotify is legal while piracy is not.
However, I agree that if you enjoy music (or any other art/content) someone produces, it’s only fair (and natural) to support them in a more direct way.
I suppose the qualifier here is "there's no moral point in paying for streaming". If you're fine listening to your favorite artist but paying Taylor Swift for your convineinece, cool.
You'll benefit the artist much more by throwing a real dollar at them and pirating their music.
On the music side, the current trend for vinyl has been a really great thing for my teenage kids. My eldest (who according to Spotify listens to about 130k mins of music a year) has really discovered an appreciation for the arc of an album when he has to spend the time loading up a disc.
I'm curious if others are finding that there's a comfort in staying within the Claude ecosystem because when it makes a mistake, we get used to spotting the pattern. I'm finding that when I try new models, their "stupid" moments are more surprising and infuriating.
Given this tech is new, the experience of how we relate to their mistakes is something I think a bit about.
Am I alone here, are others finding themselves more forgiving of "their preferred" model provider?
I was! I spent several days spinning in place after I thought it could help me clean up my code quality with biome. Afterwards it destroyed the whole app and I needed to figure out how it worked -- that need, inspired me to prototype and extension for vccode I'm actually still building :)
Yep, that was it! That really turned me off anthropic and closed models until they provide regular quality tests. I use chutes ai, now. They tell you exactly which model/quant and server config they use, so you know if you have trouble with a task, it's not the model.
Super fascinating project. I'm very interested in this. I truly hate using the tools by hand and as a programmer, this feels waaaay more intuitive. That said, when reviewing the gear video, I think understanding to start with the gear primitive would require giving the libraries a good once over as I wouldn't have assumed those existed.
Can imagine more and more forms being built in as the community goes.
I've built products that solve my problems and have released one, Intraview.ai -- it's functional, solves a real problem for me and my customers.
That said, as a business goes, it's not a sensation but it's gone from idea to customers using it in less than 6 months. Is it a VC hit, no -- am I happy with where it is and how fast I'm learning -- absolutely!