For example, it feels like Google's featured snippet (quick answer box) but expanded. But the thing is, many people don't like the feature snippet, and there's a reason it doesn't appear for many queries - it doesn't contribute meaningfully to those.

This functionality is doing exactly the opposite of the process of building good web apps: Rather than "unpacking functionality" and making it specific for an audience, it "packs" all functionality into a generalized use case, at the cost of becoming extremely mediocre for each use case, which makes it precisely worse than any other tool you'd use for that job.

As a specific example, I clicked your apartments in LES search (https://www.phind.com/search/find-me-options-for-a-72e019ce-...) and it shows us just 4 listings...? It shows some arbitrary subset of all things I could find on StreetEasy, and then provides a subset of the search functionality, losing things such as days on market, neighborhood, etc.

It's a cool demo, but "on-demand software" is exactly "Solution-In-Search-of-a-Problem".

The difficult part you need to ask is, like feature snippet, what are the questions worth solving with this, and is the pain point big enough that it's worth solving?

Rough edges: - aspect ratios on photos (maybe because I was on mobile, cropping was weird) - map was very hard to read (again, mobile) - some formatting problems with tables - it tried to show an embedded Gmap for one location but must have gotten the location wrong, was just ocean

I was hoping to get a map with arrows like "$35B in agriculture" from China to USA. I wasn't able to make it do that, but the information was still there presented in a reasonable way!

I tried it out with a relatively basic Medicinal Chem/Pharmacology question, asking for an interactive Structure-Activity-Relationship viewer:

  > "Build an interactive app showing SAR for a congeneric series. Use simple beta-2 agonists (salbutamol -> formoterol -> salmeterol). Display the common phenethylamine scaffold with R-group positions highlighted, and let me toggle substituents to see how logP, receptor binding affinity, and duration of action change."

https://www.phind.com/search/find-me-options-for-a-72e019ce-...

When I told Phind I'm a complete novice, it came up with very detailed instructions and troubleshooting tips.

  Application error: a client-side exception has occurred while loading www.phind.com (see the browser console for more information).

  Content-Security-Policy: (Report-Only policy) The page’s settings would block a script (script-src-elem) at https://www.phind.com/_next/static/chunks/c857e369-746618a9672c8ed0.js?dpl=dpl_4dLj9qrNQMh6evFNeDZbEJjTnT9B from being executed because it violates the following directive: “script-src 'none'”


  GET https://www.phind.com/_next/static/chunks/4844-90bb89386b9ed987.js?dpl=dpl_4dLj9qrNQMh6evFNeDZbEJjTnT9B  [HTTP/1.1 403 403 Forbidden 716ms]

if every response starts with "You're absolutely right -- ..." you know phind is hallucinating and you can immediately close the tab.

>A geometry app with nodes which interact based on their coordinates which may be linked to describe lines or arcs with side panels for variables and programming constructs.

which resulted in:

https://www.phind.com/search/a-geometry-app-with-nodes-ed416...

which didn't seem workable at all, and notable was lacking in a side panel.

I’m curious to see how it evolves with more complex, multi-step queries.

I tried to make it generate an explainer page and it created an unrelated page: https://www.phind.com/search/explain-to-me-how-dom-66e58f3f-...

First: my sense is that for most use cases, this will begin to feel gimmicky rather quickly and that you will do better by specializing rather than positioning yourself next to ChatGPT, which answers my questions without too much additional ceremony.

If you have any diehard users, I suspect they will cluster around very particular use cases, say business users trying to create quick internal tools, users who want to generate a quick app on mobile, scientists that want quick apps to validate data. Focusing on those clusters (your actual ones, not these specific examples) and building something optimized for their use cases seems likelier to be a stronger long term play for you

Secondly, I asked it to prove a theorem, and it gave me a link to a proof. This is fine, since LLM generated math proofs are a bit of a mess, but I was surprised that it didn't offer any visualizations or anything further. I then asked it for numerical experiments that support the conjecture, and it just showed me some very generic code and print statements for a completely different problem, unrelated to what I asked about. Not very compelling

Finally, and least important really: please stop submitting my messages when I hit return/enter! Many of us like to send more complex multi-line queries to LLMs

Good luck

But, assuming you are trying to be in between lovable and google, how are you not going to be steamrolled by google or perplexity etc the moment you get solid traction? Like, if your insight for v3 was that the model should make its own tools, so even less hardcoded, then i just dont see a moat or any vertical direction. What really is the difference?

I was surprised not to see a share and embed button. I would expect that could be huge for growth.

At least to me, this is totally fresh take on AI and providing answers. OpenAI is burning through billions without trying to make nicer interface or just come up with some innovation how to train models (Qwen and Minimax). Unlike Claude who tries to smother you with content and emojis, I got clean and focused answer to my query and an app.

Again, love it, thank you. If you have to sell yourself, make sure you get a lot of billions.

Not a single thing was actually shown or build. Astonishing what kind of crapware gets funded by YC if they slap AI on the application