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Ask HN: Do we need "metadata in source code" syntax that LLMs will never delete?

1•andrewstuart•2m ago•1 comments

Pentagon cutting ties w/ "woke" Harvard, ending military training & fellowships

https://www.cbsnews.com/news/pentagon-says-its-cutting-ties-with-woke-harvard-discontinuing-milit...
2•alephnerd•4m ago•1 comments

Can Quantum-Mechanical Description of Physical Reality Be Considered Complete? [pdf]

https://cds.cern.ch/record/405662/files/PhysRev.47.777.pdf
1•northlondoner•5m ago•1 comments

Kessler Syndrome Has Started [video]

https://www.tiktok.com/@cjtrowbridge/video/7602634355160206623
1•pbradv•8m ago•0 comments

Complex Heterodynes Explained

https://tomverbeure.github.io/2026/02/07/Complex-Heterodyne.html
2•hasheddan•8m ago•0 comments

EVs Are a Failed Experiment

https://spectator.org/evs-are-a-failed-experiment/
2•ArtemZ•19m ago•3 comments

MemAlign: Building Better LLM Judges from Human Feedback with Scalable Memory

https://www.databricks.com/blog/memalign-building-better-llm-judges-human-feedback-scalable-memory
1•superchink•20m ago•0 comments

CCC (Claude's C Compiler) on Compiler Explorer

https://godbolt.org/z/asjc13sa6
2•LiamPowell•22m ago•0 comments

Homeland Security Spying on Reddit Users

https://www.kenklippenstein.com/p/homeland-security-spies-on-reddit
2•duxup•25m ago•0 comments

Actors with Tokio (2021)

https://ryhl.io/blog/actors-with-tokio/
1•vinhnx•26m ago•0 comments

Can graph neural networks for biology realistically run on edge devices?

https://doi.org/10.21203/rs.3.rs-8645211/v1
1•swapinvidya•38m ago•1 comments

Deeper into the shareing of one air conditioner for 2 rooms

1•ozzysnaps•40m ago•0 comments

Weatherman introduces fruit-based authentication system to combat deep fakes

https://www.youtube.com/watch?v=5HVbZwJ9gPE
3•savrajsingh•41m ago•0 comments

Why Embedded Models Must Hallucinate: A Boundary Theory (RCC)

http://www.effacermonexistence.com/rcc-hn-1-1
1•formerOpenAI•43m ago•2 comments

A Curated List of ML System Design Case Studies

https://github.com/Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies
3•tejonutella•47m ago•0 comments

Pony Alpha: New free 200K context model for coding, reasoning and roleplay

https://ponyalpha.pro
1•qzcanoe•51m ago•1 comments

Show HN: Tunbot – Discord bot for temporary Cloudflare tunnels behind CGNAT

https://github.com/Goofygiraffe06/tunbot
2•g1raffe•54m ago•0 comments

Open Problems in Mechanistic Interpretability

https://arxiv.org/abs/2501.16496
2•vinhnx•59m ago•0 comments

Bye Bye Humanity: The Potential AMOC Collapse

https://thatjoescott.com/2026/02/03/bye-bye-humanity-the-potential-amoc-collapse/
3•rolph•1h ago•0 comments

Dexter: Claude-Code-Style Agent for Financial Statements and Valuation

https://github.com/virattt/dexter
1•Lwrless•1h ago•0 comments

Digital Iris [video]

https://www.youtube.com/watch?v=Kg_2MAgS_pE
1•vermilingua•1h ago•0 comments

Essential CDN: The CDN that lets you do more than JavaScript

https://essentialcdn.fluidity.workers.dev/
1•telui•1h ago•1 comments

They Hijacked Our Tech [video]

https://www.youtube.com/watch?v=-nJM5HvnT5k
2•cedel2k1•1h ago•0 comments

Vouch

https://twitter.com/mitchellh/status/2020252149117313349
37•chwtutha•1h ago•6 comments

HRL Labs in Malibu laying off 1/3 of their workforce

https://www.dailynews.com/2026/02/06/hrl-labs-cuts-376-jobs-in-malibu-after-losing-government-work/
4•osnium123•1h ago•1 comments

Show HN: High-performance bidirectional list for React, React Native, and Vue

https://suhaotian.github.io/broad-infinite-list/
2•jeremy_su•1h ago•0 comments

Show HN: I built a Mac screen recorder Recap.Studio

https://recap.studio/
1•fx31xo•1h ago•1 comments

Ask HN: Codex 5.3 broke toolcalls? Opus 4.6 ignores instructions?

1•kachapopopow•1h ago•0 comments

Vectors and HNSW for Dummies

https://anvitra.ai/blog/vectors-and-hnsw/
1•melvinodsa•1h ago•0 comments

Sanskrit AI beats CleanRL SOTA by 125%

https://huggingface.co/ParamTatva/sanskrit-ppo-hopper-v5/blob/main/docs/blog.md
1•prabhatkr•1h ago•1 comments
Open in hackernews

Show HN: Fulfilled – Non-custodial financial co-pilot for goal optimization

https://matthew-glossops-workspace.share.arcade.software/share/iiL0WyFF1O1iSlSi1TGg
5•mattglossop•2mo ago
Hey HN,

We’re challenging retail wealth management. Most individual portfolio optimization is fundamentally flawed because it’s static and ignores your specific goals.

I spent a decade helping some of the world’s largest investors build their portfolios. My co-founder built hundreds of financial plans for retail investors before backend engineering at Microsoft. We know the problem: traditional portfolio construction and maintenance approaches (like Modern Portfolio Theory) rely on myopic, static allocation.

This failure of methodology is why advisors ignore retail investors below $250k in assets and platforms push generic funds. Personalized, dynamic allocation is non-viable for them because the complex computation required is too difficult to scale manually.

We built the solution: a financial co-pilot that gives you a single clear picture of all your finances, and shows you how to achieve your goals with tailored, dynamic guidance. This is a scalable, non-custodial platform, unbundling advice from assets.

- Custom dynamic guidance: Get ongoing investment recommendations truly customized to you and your specific goals. Our model continuously adjusts risk based on your time horizon and current portfolio state - an approach that studies show can increase goal achievement probability by 30%+ compared to traditional models.

- Tracking without transfers: Automatically track progress towards goals by securely connecting your accounts (API link with Plaid/SnapTrade). You never have to transfer a dollar; take our guidance and use it where you already invest.

- Total clarity: See a single, clear, unified view of household wealth, spending, and goals.

This wealth co-pilot is designed to guide and empower users to achieve their goals and build positive financial habits.

For a full review of our investment approach, please review our whitepaper: https://drive.google.com/file/d/1_WhcShE2G8eJJJuq1odsPq5BVAH...

Fulfilled is an SEC Registered Investment Advisor offering this automated platform across the US.

Check it out and give us your brutal, honest feedback on the clarity of the UX and the value that we offer.

Product link: https://www.FulfilledWealth.co

Comments

j_cmack•2mo ago
I like the continuous recalculation approach you’re thinking about - it would be helpful knowing that what I’m invested in is constantly being re-aligned towards my goals. Not sure if beginner investors will really care about this - it may be a bit advanced. But if the platform is targeted towards prosumers or people who are already investing, I can see the appeal. How is the no-custody aspect managed? Everyone makes trades on their own?
mattglossop•2mo ago
Totally fair point. We think that beginner investors already have a ton of resources at their disposal. There are a lot of platforms aimed at making it as easy as possible to start investing for the first time. We're focused on people who are already investing and who want to just have more clarity as to where they stand financially and whether their goals are actually on track.

The no-custody aspect is really a starting place. We wanted to eliminate the usual friction that investment platforms impose in asking people to transfer their assets before receiving service. We think this is one of the biggest points of friction in financial services, and one which drives up CACs across the industry.

Functionally, what happens with our platform now is that we show you exactly what to invest in with specific ETFs to buy and keep you on track with regular rebalancing instructions. You then make those trades wherever you're already investing. Trades sync to our platform through an API connection (Plaid/SnapTrade) so you can see your progress towards your goal.

Our aim is to add a custody solution as well, letting users trade on the platform, but we always want to offer the non-custody solution as an entry point for users, making it super easy to get started and gradually earn user trust.

sakib002001•2mo ago
Solid approach to a real problem. You're right that traditional portfolio models optimize for generic risk profiles when most people just want to hit specific goals by certain dates. The dynamic strategy that adjusts based on both time remaining and current portfolio value makes sense. One question on the execution side: since users keep their money at their own brokerages and you just provide recommendations, how do you actually get them to follow through on trades? Especially the hard ones like buying more stocks after losses when they're behind on a goal?
mattglossop•2mo ago
Great question, and we're still working on improving the process there. At the core what we do is break down all tasks into small achievable steps - with a reward system encouraging users along the way to continue taking action.

What we're also integrating is an "opportunity cost calculator" showing users how delaying or avoiding the action we're recommending would impact the achievement of their goal.

Call it a "carrot and stick" system.

This feedback loop, coupled with small achieveable steps, has performed well so far in keeping users on task and on track for their goals.

tylerpress•2mo ago
Really interesting approach. How does your dynamic allocation engine weigh conflicting goals when users have multiple time horizons? Would love to understand how you solve that optimization problem.
mattglossop•2mo ago
That's a great question, as complex goals are often conflicting.

Right now, each goal uses a qualitative scale to establish an initial risk budget.

In the future, we will ask users to rank all goals (like a weighted priority list). This ranking allows our dynamic allocation engine to solve the optimization problem:

Prioritization: The ranking determines the importance of each goal in the final outcome calculation.

Continuous Recalibration: The engine doesn't use a fixed risk cap. Instead, it continuously adjusts the risk allocated to each goal based on its performance and time horizon.

Risk to Maximize Probability: Goals that are far from being achieved may temporarily take more risk to increase the chance of success, while goals that are ahead of schedule will de-risk immediately to protect gains.

This ensures the total portfolio risk stays optimal while maximizing the probability of achieving your goals in priority order.

workworkwork71•2mo ago
Other co-founder here. Really would love to hear some feedback on the approach, testing & general app use is free w/ no payments required!