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Z8086: Rebuilding the 8086 from Original Microcode

https://nand2mario.github.io/posts/2025/z8086/
1•nand2mario•1m ago•0 comments

Listen to Mixtapes from Before

https://intertapes.net/
1•poniko•5m ago•0 comments

My First Impressions of MeshCore Off-Grid Messaging

https://mtlynch.io/first-impressions-of-meshcore/
1•mtlynch•7m ago•0 comments

I built a tool to restore old family photos without ruining them with AI

https://forevi.ai
1•poznerd•7m ago•1 comments

Designing Electronics That Works

https://nostarch.com/designingelectronics
1•0x54MUR41•7m ago•0 comments

Most LLM cost isn't compute – it's identity drift (110-cycle GPT-4o benchmark)

https://github.com/sigmastratum/documentation/blob/main/sigma-runtime/SR-EI-03/benchmark_report_S...
1•teugent•8m ago•1 comments

Show HN: PlanEat AI, an AI iOS app for weekly meal plans and smart grocery lists

1•franklinm1715•8m ago•0 comments

A Post-Incident Control Test for External AI Representation

https://zenodo.org/records/17921051
1•businessmate•9m ago•1 comments

اdifference gbps overview find answers

1•shahrtjany•10m ago•0 comments

Measuring Impact of Early-2025 AI on Experienced Open-Source Dev Productivity

https://arxiv.org/abs/2507.09089
1•vismit2000•11m ago•0 comments

Show HN: Lazy Demos

http://demoscope.app/lazy
1•admtal•12m ago•0 comments

AI-Driven Facial Recognition Leads to Innocent Man's Arrest (Bodycam Footage) [video]

https://www.youtube.com/watch?v=B9M4F_U1eEw
2•niczem•13m ago•1 comments

Annual Production of 1/72 (22mm) scale plastic soldiers, 1958-2025

https://plasticsoldierreview.com/ShowFeature.aspx?id=27
2•YeGoblynQueenne•14m ago•0 comments

Error-Handling and Locality

https://www.natemeyvis.com/error-handling-and-locality/
1•Theaetetus•15m ago•0 comments

Petition for David Sacks to Self-Deport

https://form.jotform.com/253464131055147
1•resters•15m ago•0 comments

Get found where people search today

https://kleonotus.com/
1•makenotesfast•18m ago•1 comments

Show HN: An early-warning system for SaaS churn (not another dashboard)

https://firstdistro.com
1•Jide_Lambo•19m ago•1 comments

A Practical Approach to Verifying Code at Scale

https://alignment.openai.com/scaling-code-verification/
1•gmays•21m ago•0 comments

Show HN: macOS tool to restore window layouts

https://github.com/zembutsu/tsubame
1•zembutsu•23m ago•0 comments

30 Years of <Br> Tags

https://www.artmann.co/articles/30-years-of-br-tags
2•FragrantRiver•30m ago•0 comments

Kyoto

https://github.com/stevepeak/kyoto
2•handfuloflight•31m ago•0 comments

Decision Support System for Wind Farm Maintenance Using Robotic Agents

https://www.mdpi.com/2571-5577/8/6/190
1•PaulHoule•31m ago•0 comments

Show HN: X-AnyLabeling – An open-source multimodal annotation ecosystem for CV

https://github.com/CVHub520/X-AnyLabeling
1•CVHub520•34m ago•0 comments

Penpot Docker Extension

https://www.ajeetraina.com/introducing-the-penpot-docker-extension-one-click-deployment-for-self-...
1•rainasajeet•35m ago•0 comments

Company Thinks It Can Power AI Data Centers with Supersonic Jet Engines

https://www.extremetech.com/science/this-company-thinks-it-can-power-ai-data-centers-with-superso...
1•vanburen•38m ago•0 comments

If AIs can feel pain, what is our responsibility towards them?

https://aeon.co/essays/if-ais-can-feel-pain-what-is-our-responsibility-towards-them
3•rwmj•42m ago•5 comments

Elon Musk's xAI Sues Apple and OpenAI over App Store Drama

https://mashable.com/article/elon-musk-xai-lawsuit-apple-openai
1•paulatreides•45m ago•1 comments

Ask HN: Build it yourself SWE blogs?

1•bawis•45m ago•1 comments

Original Apollo 11 Guidance Computer source code

https://github.com/chrislgarry/Apollo-11
3•Fiveplus•51m ago•0 comments

How Did the CIA Lose Nuclear Device?

https://www.nytimes.com/interactive/2025/12/13/world/asia/cia-nuclear-device-himalayas-nanda-devi...
1•Wonnk13•51m ago•1 comments
Open in hackernews

I helped my client get 100% investment round

1•canxerian•6mo ago
Wanted to share a breakdown of how I went from freelancer to helping my client get funding, and in the process, built my agency business.

My client, WhipSnap, wants to serve the niche of 3D car scanning - applications range from enabling car showrooms to conduct virtual sales and marketing to letting petrol-heads scan and share their own cars, with annotations in 3D.

I designed and developed an MVP for them. I also visited high-end car showrooms with my client to scan cars. I was also the "tech guy" in calls with investors (I rarely spoke, TBH).

Here's everything that led to this moment:

[-2]. Pitched to a different client.

[-1]. Got rejected.

[ 0]. Lesson learned: needed to dramatically increase the quality of my proposal.

[ 1]. Heard from a former colleague about another project

[ 2]. We setup the initial call for intros

[ 3]. Before the call, I worked the weekend to research their niche and the technologies they could use.

[ 4]. During the intro call I impressed them with my research, my understanding of their niche and suggestions on how we'd build their app idea.

[ 5]. They signed.

[ 6]. During the project, I sent weekly video updates via Youtube (unlisted). I'm a fan of async comms.

[ 7]. We spoke regularly, via a WhatsApp group chat!

[ 8]. Within 4 weeks we had a useable MVP. Real customers could scan their cars!

[ 9]. Then some chaos: I personally helped scan a $4.5M Koenigsegg.. and the scan failed

[10]. More chaos: Runpod (the GPU cloud provider) became unreliable. I ended up buying an RTX 5090 to run our 3D pipeline on.

[11]. The weekly videos and regular comms kept my client informed and calm. Together, we worked around issues.

[12]. I delivered and hosted the solution. Did some extra bits to increase the quality of car scans (like manual cleanup).

[13]. We onboard early adopters.

[14]. Investors understand and are excited by the solution.

[15]. Investment money arrives in my client's bank account.

I appreciate some of the above doesn't sound scalable. I also appreciate that it sounds unconventional (like using WhatsApp group chat with clients). But they worked for me.

Thanks for reading!

p.s, my company is https://llume.co, you can find a more in-depth case study there - see "Carvatar"