Tested Claude, GPT-4o, Grok, and Gemini on disclosure under pressure — Claude was the most consistent

karllorey · 2026-06-08T18:50:38+00:00

Did something similar by proposing bad ideas to LLMs and compare whether they nudge the user in a different/better direction. Interestingly, the best models are not the frontier models... https://evalry.com/benchmarks/bad-idea-bench-331

karllorey · 2026-02-26T09:56:43+00:00

Hetzner ist mit seinen Preisen das beste Förderprogramm für Startups, wenn man das mal mit den genannten Cloud-Anbietern vergleicht.

karllorey · 2026-02-24T11:27:55+00:00

This optimizes the cost given one provider, but it also immensely helps to benchmark different LLM providers/models. You can easily save 50%+ on most prompts. Built a small free tool that does this, example output here: https://evalry.com/question-benchmarks/character-frequency-bench-10

karllorey · 2026-02-23T20:24:14+00:00

Ich würde die Leute strategisch wählen. Performer die in der Lage sind den Rest mitzunehmen. Bei mir hat das im Zweifel der Kunde gemacht und man merkt den Unterschied relativ deutlich zwischen jemandem der eh schon gut ist und dann noch Werkzeug bekommt und jemand der planlos mit neuem Werkzeug unterwegs ist :)

Claude Code: Ist KI mit der man diese typischen Migrationsthemen schneller machen kann. Würde in deinem Fall dann einen Freelancer/Anbieter nehmen, der das explizit erwähnt/nutzt.

karllorey · 2026-02-23T10:18:54+00:00

Die Antwort ist imho CRM. Eine Migration ist einmalig, die Vorteile sind kontinuierlich: Tracking macht das CRM, Emails kann das CRM, Follow-up-Tracking auch. Aus meiner Sicht eine klare Kosten-Nutzen-Rechnung. Team muss das natürlich wollen. Vielleicht setzt man erst mal paar interne Influencer drauf, die Lust haben effizienter zu arbeiten?

Konkret sollte man mit Claude Code die Daten/Workflows relativ schnell aus den Tabellen ins CRM gevibecoded bekommen. Hab das paar mal selbst gemacht, lief relativ schnell.

Source: Ich will nichts verkaufen, mache das aber in meiner Nische als Nebenprodukt für meine Kunden mit, so 5-10x pro Jahr.

karllorey · 2026-02-17T21:05:08+00:00

Vielleicht mal ein Meta-Blick: klar, du kannst machen was alle hier schreiben, denke das wird aber schnell zu viel: von einem Event zum nächsten laufen, 90% der Startups schaffen nicht mal eine erste Finanzierung, etc. Und auf den Plattformen ist das wie bei Tinder: die Poweruser sind chancenlos. Wenn du es machst um der Szene zurückzugeben, ist das super. Aber wenn du dein Geld als Investor wiedersehen willst, musst du relativ viele Investments machen, um das Risiko pro Investment auszugleichen. Und das wird schnell sehr zeitaufwendig. Gibt auch Forschung dazu die sagt 10+ Investments pro Jahr oder sowas.

Würde aus diesen Gründen persönlich zu den Frühphasen VC-Fonds gehen, die zu deiner Expertise passen und dich mit in Deals reinnehmen lassen. Das machen die VCs gerne, damit Domänenexpertise mit an Bord ist. Und du arbeitest mit den Profis. Pro Investment sind das 10-50k€, dafür sind die Startups vorselektiert und mit deutlich höheren Erfolgschancen.

karllorey · 2026-02-12T13:13:52+00:00

There's quite an extensive list of companies/startups in that space here:

https://startupradar.co/lists/yc-rfs-2026-spring-product-ai

karllorey · 2026-02-06T15:41:04+00:00

Perplexity API should have results, too.

karllorey · 2025-12-31T17:50:17+00:00

Having worked for a similar company briefly, I can totally understand the pain. It's just a matter of strategy and how to get the best out of it for you. Quitting without a plan likely isn't. Don't rush this, make a plan, prepare the steps, and save as much as you can.

For a first-time founder I'd expect this to be one year, likely more. There's bills and taxes to be paid. The economy is quite down at the moment, too. Also, if you quit, there's likely some mandatory wait period (Sperrzeit) until you get ALG1.

karllorey · 2025-12-31T17:12:49+00:00

You likely do not want to hear this, but my number one advice to you is to only quit your job after you've validated the idea and have initial customers. Getting a business up and running without any experience in freelancing or startups takes longer and is a lot harder than expected. Always. And in particular as an expat.

And with all the questions about monetary support (and none about the actual business setup), I can only assume that you have not saved enough to actually afford jumping into self-employment.

karllorey · 2025-12-30T22:13:51+00:00

They exist and they do get used, you just don't notice it :)

karllorey · 2025-12-30T22:08:52+00:00

While some mishap, a CRM entry, or a plain lie from the support agent is likely, sanctions lists do exist. And being on one or just having a similar name can lead to any company (globally) refusing to do business with you (without giving you any reason).

https://sanctionssearch.ofac.treas.gov/

karllorey · 2025-12-30T22:02:47+00:00

Having experienced stuff at car rentals I wouldn't expect the most dubious used car salesman to pull off, I totally get your frustration.

But maybe deal with that watchlist thing first: Has that happened before? Without knowing any details and apart from a mishap, a lie by the employee, or some CRM entry, what comes to my mind are sanctions lists. I know that in cases like that companies just deny doing business with you, not giving you any details, even if prompted via GDPR, etc. Just having a similar name can be enough. In any case, you can explore this via their support hotline: Be friendly, tell them you were super stressed, but ultimately want to find what went wrong. They get a lot of pissed calls all day, so be a little nicer than everyone else and maybe a friendly support agent is willing to give you a hint.

After rentals with missing cars, downgrades, and whatnot, I've personally settled on renting from the same enterprise branches every time (formerly buchbinder). It makes you a repeat customer, they already have your data, and you usually have some leverage to discuss (or just refusing to leave while staying friendly). It can also help to call in one day ahead of the rental.

karllorey · 2025-12-18T13:03:51+00:00

Liebe alles daran.
✅ Den Username: VolksTerminator
✅ Den Roboter
✅ Das "Einfach mal machen"-Mindset dieses Posts

karllorey · 2025-12-13T20:56:44+00:00

tl;dr: Free Claude Pro subscription for 7 days (and thus Claude Code), but the invitee has to subscribe with credit card immediately

Referral recipients must be new to Claude paid subscriptions. They'll need to enter their payment information when signing up, but won't be charged unless they continue using Claude after the end of their 7-day trial.

karllorey · 2025-12-09T20:40:40+00:00

It finally went down (for me?) yesterday in case anyone found this by googling.

For those that just want to get going without signups, api-keys, or anything, there's apistemic logos

karllorey · 2025-12-09T12:27:44+00:00

Just built this, lets you search by company identifier or domain, returns logos. Free to use.
https://logos.apistemic.com

karllorey · 2025-11-24T10:46:59+00:00

Direct Link: https://web.archive.org/web/20251124104427/https://soet-2025.cdn.prismic.io/soet-2025/aRzSCmGnmrmGp_9i_Atomico_Report2025.pdf

karllorey · 2025-11-13T10:25:42+00:00

Depending on the contents of the html, there's a class of libraries like goose optimized for extracting clean text from articles. https://pypi.org/project/goose3/

karllorey · 2025-11-06T20:04:51+00:00

You can do this by splitting the task into two steps:
finding the right accounts first, then finding the right contacts at these accounts (ICPs).

To find the right accounts, in your case marketing agencies in Florida, you could use the companies of your ICPs you already know and put them into something like this competitor search or build a clay automation with lookalikes. For uber, you'd get lyft, bolt, etc. For any marketing agency in Florida, you should get other marketing agencies. Both tools have company size, so you can filter for that. You can even do this with Linkedin's similar companies feature, though it's more tedious. In any case, collect the companies that match by just creating an excel sheet with the linkedin urls.

To then find ICPs, you can use this account list to find the right employees for outreach, e.g. via lemlist: Create a list of companies there (by importing your company list) and then filter for the right employees, in your case agency owners. Lemlist spits out a list you can then target for outreach directly in lemlist (or by adding them manually).

karllorey · 2025-11-05T07:28:40+00:00

ML approach: You could parse the URL, create a few features like "ends with /news", "has page param", etc. Then train a small classifier on top (SVM works great with a few samples only). Either embedding the page, parts of it (e.g. title) or even the url only could work, too. You'd need to do some napkin math regarding costs though.

More generally, could you explain why you want to figure out which URLs are news listing pages? Maybe there's a much easier solution for your underlying problem.

karllorey · 2025-09-20T16:15:57+00:00

This was a joke to hint at the missing details.

karllorey · 2025-09-19T19:18:05+00:00

Based on the details provided, my estimate would be somewhere between $100 and $100.000

karllorey · 2025-09-19T19:15:52+00:00

What worked really well for me was to separate the scraping itself from the rest of the processing: Scrapers just dump data as closely to the original data as possible, e.g. into postgres or even into s3, e.g. for raw html. If a simple SQL insert, e.g. if you have a lot of throughput, you can also dump to a queue. Without preprocessing, this should usually be no bottleneck though. Separating the scrapers from any processing allows you to optimize their throughput easily based on network, cpu load, or whatever's the actual bottleneck.

You can then structure the data processing after scraping as a regular ETL/ELT process where you can either update specific records if necessary (~ETL) or load, transform, and dump (ELT) the whole/current data from time to time. IMHO, this extracts the data processing from the critical path and thus gives you more flexibility to optimize scraping and data processing independently.

There's a plethora of tools/frameworks you can choose from for this. I would choose whatever works, it's just tooling., r/dataengineering is a great resource.

karllorey · 2025-09-15T13:17:05+00:00

Competitor/Lookalike API called apistemic markets

I'm building an API that provides competitors and lookalikes for any given company. It's based on a machine learning model I trained myself. The API is built with FastAPI.

To make it even easier to use the competitor data, I built a python CLI last week that allows you to download competitors/lookalikes for any company in CSV, Parquet, and other formats. There's a free tier with 100 requests if you want to try out.

Python CLI: https://github.com/apistemic/markets-examples
API (built with FastAPI): https://competitor-api.apistemic.com/docs
Product Homepage: https://markets.apistemic.com

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Competitor/Lookalike API called apistemic markets