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The Cascading Effects of Repackaged APIs [pdf]

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6055034
1•Tejas_dmg•1m ago•0 comments

Lightweight and extensible compatibility layer between dataframe libraries

https://narwhals-dev.github.io/narwhals/
1•kermatt•4m ago•0 comments

Haskell for all: Beyond agentic coding

https://haskellforall.com/2026/02/beyond-agentic-coding
2•RebelPotato•8m ago•0 comments

Dorsey's Block cutting up to 10% of staff

https://www.reuters.com/business/dorseys-block-cutting-up-10-staff-bloomberg-news-reports-2026-02...
1•dev_tty01•10m ago•0 comments

Show HN: Freenet Lives – Real-Time Decentralized Apps at Scale [video]

https://www.youtube.com/watch?v=3SxNBz1VTE0
1•sanity•12m ago•1 comments

In the AI age, 'slow and steady' doesn't win

https://www.semafor.com/article/01/30/2026/in-the-ai-age-slow-and-steady-is-on-the-outs
1•mooreds•19m ago•1 comments

Administration won't let student deported to Honduras return

https://www.reuters.com/world/us/trump-administration-wont-let-student-deported-honduras-return-2...
1•petethomas•19m ago•0 comments

How were the NIST ECDSA curve parameters generated? (2023)

https://saweis.net/posts/nist-curve-seed-origins.html
2•mooreds•20m ago•0 comments

AI, networks and Mechanical Turks (2025)

https://www.ben-evans.com/benedictevans/2025/11/23/ai-networks-and-mechanical-turks
1•mooreds•20m ago•0 comments

Goto Considered Awesome [video]

https://www.youtube.com/watch?v=1UKVEUGEk6Y
1•linkdd•23m ago•0 comments

Show HN: I Built a Free AI LinkedIn Carousel Generator

https://carousel-ai.intellisell.ai/
1•troyethaniel•24m ago•0 comments

Implementing Auto Tiling with Just 5 Tiles

https://www.kyledunbar.dev/2026/02/05/Implementing-auto-tiling-with-just-5-tiles.html
1•todsacerdoti•25m ago•0 comments

Open Challange (Get all Universities involved

https://x.com/i/grok/share/3513b9001b8445e49e4795c93bcb1855
1•rwilliamspbgops•26m ago•0 comments

Apple Tried to Tamper Proof AirTag 2 Speakers – I Broke It [video]

https://www.youtube.com/watch?v=QLK6ixQpQsQ
2•gnabgib•28m ago•0 comments

Show HN: Isolating AI-generated code from human code | Vibe as a Code

https://www.npmjs.com/package/@gace/vaac
1•bstrama•29m ago•0 comments

Show HN: More beautiful and usable Hacker News

https://twitter.com/shivamhwp/status/2020125417995436090
3•shivamhwp•30m ago•0 comments

Toledo Derailment Rescue [video]

https://www.youtube.com/watch?v=wPHh5yHxkfU
1•samsolomon•32m ago•0 comments

War Department Cuts Ties with Harvard University

https://www.war.gov/News/News-Stories/Article/Article/4399812/war-department-cuts-ties-with-harva...
8•geox•35m ago•1 comments

Show HN: LocalGPT – A local-first AI assistant in Rust with persistent memory

https://github.com/localgpt-app/localgpt
1•yi_wang•36m ago•0 comments

A Bid-Based NFT Advertising Grid

https://bidsabillion.com/
1•chainbuilder•40m ago•1 comments

AI readability score for your documentation

https://docsalot.dev/tools/docsagent-score
1•fazkan•47m ago•0 comments

NASA Study: Non-Biologic Processes Don't Explain Mars Organics

https://science.nasa.gov/blogs/science-news/2026/02/06/nasa-study-non-biologic-processes-dont-ful...
2•bediger4000•50m ago•2 comments

I inhaled traffic fumes to find out where air pollution goes in my body

https://www.bbc.com/news/articles/c74w48d8epgo
2•dabinat•51m ago•0 comments

X said it would give $1M to a user who had previously shared racist posts

https://www.nbcnews.com/tech/internet/x-pays-1-million-prize-creator-history-racist-posts-rcna257768
6•doener•54m ago•1 comments

155M US land parcel boundaries

https://www.kaggle.com/datasets/landrecordsus/us-parcel-layer
2•tjwebbnorfolk•58m ago•0 comments

Private Inference

https://confer.to/blog/2026/01/private-inference/
2•jbegley•1h ago•1 comments

Font Rendering from First Principles

https://mccloskeybr.com/articles/font_rendering.html
1•krapp•1h ago•0 comments

Show HN: Seedance 2.0 AI video generator for creators and ecommerce

https://seedance-2.net
1•dallen97•1h ago•0 comments

Wally: A fun, reliable voice assistant in the shape of a penguin

https://github.com/JLW-7/Wally
2•PaulHoule•1h ago•0 comments

Rewriting Pycparser with the Help of an LLM

https://eli.thegreenplace.net/2026/rewriting-pycparser-with-the-help-of-an-llm/
2•y1n0•1h ago•0 comments
Open in hackernews

Show HN: I built a real estate deal analyzer that handles hard money loan math

https://re.rtn.capital
3•AdityaPatwa07•2w ago
Hello HN,

I’m the developer behind RunTheNumbers. It’s a free suite of tools to analyze real estate deals (BRRRR, Fix & Flip, and Rentals).

I noticed that most new investors rely on complex Excel sheets that are brittle and prone to breaking—especially when you try to factor in "Hard Money" loans, bridge financing, or variable holding costs. The existing web calculators were often too simple or behind a paywall.

I built a dedicated engine that handles the messy logic of hard money loans (points, interest-only periods, etc.) and allows you to export "Lender-Ready" PDF reports directly from the browser.

I’d love to get your feedback on the UX and whether the "Cash on Cash" calculations feel intuitive to you.

Thanks!

Comments

investbot•2w ago
Nice work on making the hard money loan math transparent — that's often a black box. I'm building a tool in a similar "rational decision-making" space, but for stock portfolios (InvestBot). Your approach to breaking down complex financial terms into interactive inputs is exactly the UX challenge we face with risk constraints like max drawdown and concentration caps. Question from one builder to another: How did you validate which specific loan parameters were most critical for users to control? We're constantly prioritizing which risk rules to expose first.
AdityaPatwa07•2w ago
Thanks!

I validated the inputs by working backward from actual Lender Term Sheets. I looked at what lenders contractually require to underwrite a deal (like Origination Points or strict LTC caps). If a variable was a "deal-breaker" for funding, I made it a primary input; everything else got tucked into "Advanced" settings to keep the UI clean.

Good luck with InvestBot!

investbot•2w ago
That makes sense. We use a similar "work backwards from constraints" approach, but with portfolio rules instead of lender terms.

For us the closest analog to "deal-breaker variables" are things like: - max drawdown thresholds - concentration caps - volatility ceilings - event gating (earnings, macro events)

Those are the points where a normal investor violates their own process under stress, so we surface them as primary controls. Things like turnover or sector caps end up in “Advanced” for the same UX reason you mentioned.

Curious - did you iterate on how much to hide in Advanced vs surface by default, or did the term sheet mapping give you a clean partition from the start?