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Velocity of Money

https://en.wikipedia.org/wiki/Velocity_of_money
1•gurjeet•36s ago•0 comments

Stop building automations. Start running your business

https://www.fluxtopus.com/automate-your-business
1•valboa•4m 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•5m ago•0 comments

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

https://palettepoint.com
1•latentio•6m 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•11m 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/
7•mooreds•26m 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•33m ago•0 comments

A quantitative, multimodal wearable bioelectronic device for stress assessment

https://www.nature.com/articles/s41467-025-67747-9
1•PaulHoule•35m 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•35m 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•38m ago•0 comments

The new X API pricing must be a joke

https://developer.x.com/
1•danver0•39m ago•0 comments

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

https://rma-dashboard.bukhari-kibuka7.workers.dev/
1•bumahkib7•39m ago•0 comments

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

https://github.com/2015xli/jqassistant-graph-rag
1•artigent•44m 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•48m 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•49m ago•0 comments

Visual data modelling in the browser (open source)

https://github.com/sqlmodel/sqlmodel
1•Sean766•51m 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•52m ago•0 comments
Open in hackernews

Ask HN: A pattern we noticed in how website leads are handled

3•lucascorrei4•3w ago
We started noticing a recurring pattern across different websites.

Visitors arrive with clear intent. They interact with the site. They leave without ever being contacted.

At first, it looked like a traffic or copy problem. But it wasn’t.

The real issue was response latency combined with qualification cost. Humans can’t respond instantly. And responding to every lead doesn’t scale.

By the time someone replies: – The visitor is gone – Or they were never a good fit

We ended up building an AI layer to sit between traffic and sales: – Qualify intent instantly – Filter low-quality conversations – Route only real buyers to humans

Curious if others here have observed the same pattern, and how you’re handling it.

Comments

lucascorrei4•3w ago
For those who asked what we built to address this: https://bizaigpt.com