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Velocity of Money

https://en.wikipedia.org/wiki/Velocity_of_money
1•gurjeet•1m ago•0 comments

Stop building automations. Start running your business

https://www.fluxtopus.com/automate-your-business
1•valboa•5m ago•1 comments

You can't QA your way to the frontier

https://www.scorecard.io/blog/you-cant-qa-your-way-to-the-frontier
1•gk1•6m ago•0 comments

Show HN: PalettePoint – AI color palette generator from text or images

https://palettepoint.com
1•latentio•7m ago•0 comments

Robust and Interactable World Models in Computer Vision [video]

https://www.youtube.com/watch?v=9B4kkaGOozA
1•Anon84•10m ago•0 comments

Nestlé couldn't crack Japan's coffee market.Then they hired a child psychologist

https://twitter.com/BigBrainMkting/status/2019792335509541220
1•rmason•12m ago•0 comments

Notes for February 2-7

https://taoofmac.com/space/notes/2026/02/07/2000
2•rcarmo•13m ago•0 comments

Study confirms experience beats youthful enthusiasm

https://www.theregister.com/2026/02/07/boomers_vs_zoomers_workplace/
2•Willingham•20m ago•0 comments

The Big Hunger by Walter J Miller, Jr. (1952)

https://lauriepenny.substack.com/p/the-big-hunger
1•shervinafshar•21m ago•0 comments

The Genus Amanita

https://www.mushroomexpert.com/amanita.html
1•rolph•26m ago•0 comments

We have broken SHA-1 in practice

https://shattered.io/
8•mooreds•27m ago•2 comments

Ask HN: Was my first management job bad, or is this what management is like?

1•Buttons840•28m ago•0 comments

Ask HN: How to Reduce Time Spent Crimping?

2•pinkmuffinere•29m ago•0 comments

KV Cache Transform Coding for Compact Storage in LLM Inference

https://arxiv.org/abs/2511.01815
1•walterbell•34m ago•0 comments

A quantitative, multimodal wearable bioelectronic device for stress assessment

https://www.nature.com/articles/s41467-025-67747-9
1•PaulHoule•36m ago•0 comments

Why Big Tech Is Throwing Cash into India in Quest for AI Supremacy

https://www.wsj.com/world/india/why-big-tech-is-throwing-cash-into-india-in-quest-for-ai-supremac...
1•saikatsg•36m ago•0 comments

How to shoot yourself in the foot – 2026 edition

https://github.com/aweussom/HowToShootYourselfInTheFoot
1•aweussom•36m ago•0 comments

Eight More Months of Agents

https://crawshaw.io/blog/eight-more-months-of-agents
4•archb•38m ago•0 comments

From Human Thought to Machine Coordination

https://www.psychologytoday.com/us/blog/the-digital-self/202602/from-human-thought-to-machine-coo...
1•walterbell•39m ago•0 comments

The new X API pricing must be a joke

https://developer.x.com/
1•danver0•40m ago•0 comments

Show HN: RMA Dashboard fast SAST results for monorepos (SARIF and triage)

https://rma-dashboard.bukhari-kibuka7.workers.dev/
1•bumahkib7•40m ago•0 comments

Show HN: Source code graphRAG for Java/Kotlin development based on jQAssistant

https://github.com/2015xli/jqassistant-graph-rag
1•artigent•45m ago•0 comments

Python Only Has One Real Competitor

https://mccue.dev/pages/2-6-26-python-competitor
4•dragandj•46m ago•0 comments

Tmux to Zellij (and Back)

https://www.mauriciopoppe.com/notes/tmux-to-zellij/
1•maurizzzio•47m ago•1 comments

Ask HN: How are you using specialized agents to accelerate your work?

1•otterley•49m ago•0 comments

Passing user_id through 6 services? OTel Baggage fixes this

https://signoz.io/blog/otel-baggage/
1•pranay01•49m ago•0 comments

DavMail Pop/IMAP/SMTP/Caldav/Carddav/LDAP Exchange Gateway

https://davmail.sourceforge.net/
1•todsacerdoti•50m ago•0 comments

Visual data modelling in the browser (open source)

https://github.com/sqlmodel/sqlmodel
1•Sean766•52m ago•0 comments

Show HN: Tharos – CLI to find and autofix security bugs using local LLMs

https://github.com/chinonsochikelue/tharos
1•fluantix•52m ago•0 comments

Oddly Simple GUI Programs

https://simonsafar.com/2024/win32_lights/
1•MaximilianEmel•53m ago•0 comments
Open in hackernews

Simon Willison on Phoenix.new

https://simonwillison.net/2025/Jun/23/phoenix-new/
3•davidarenas•7mo ago

Comments

codingdave•7mo ago
Actual title: "Phoenix.new is Fly’s entry into the prompt-driven app development space"
mbStavola•7mo ago
I decided to give Phoenix.new a spin to see where it stood in the field. Overall? Cool DevX but I'm not super impressed with the actual output.

I dumped $110 into it over the course of a day, just to give it a fair shake and see how far I could bring it. The first $40 or so was pretty productive and I had a cool little prototype. The last $70, however, was basically stuck in a death loop where it couldn't fix certain (obvious) problems.

It would read my feedback, do some tests (this feature is super cool by the way), and then declare that everything works. I would then click through the UI, see that nothing changed, and then reprompt. It would declare that, indeed, there is an error! It would go about on a tangent trying to solve it, declare victory, and then give a cutsey update about how it solved the issue. I then test, see that nothing changed, and then reprompt... ad infinitum (or at least until I stopped putting tokens in the machine). Honestly, now that I think about it, it feels like I paid these guys to get the standard Product Manager experience.

Of course, I can't be too harsh. This has been pretty much my experience with most AI products. I was hoping the way Phoenix.new was set up (where it plans it's work and tests itself) would achieve better results, but that seems not to really make a difference.