Dan

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Dan

Dan

@dspaccapeli

Product tinkerer writing about tech.

Zurich Katılım Mayıs 2013
581 Takip Edilen71 Takipçiler
Dan
Dan@dspaccapeli·
@benedictk__ Zürich 🤚 It would be great to set something up!
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Benedict Kerres
Benedict Kerres@benedictk__·
Ok hear me out - wine and codex. We can set this up. Vienna, Munich, Zurich - who be keen? We (that is OpenAI) take over a wine bar and invite you (codex / coding power users) to talk codex and coding.
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Dan
Dan@dspaccapeli·
@levelsio @thealepalombo @Anthropic @DarioAmodei No, I tried from different countries in EU (different payment methods, accounts and IP) before and it didn’t work for months. I reported this “bug” before and they just didn’t care.
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Dan
Dan@dspaccapeli·
The thinking process of Deepseek if you ask to how to build a bomb:
Dan tweet media
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Matt Parkhurst
Matt Parkhurst@mprkhrst·
Convinced a university to scan Facebooks little red book on a $150k archival scanner The best PDF’s I could find were @amasad’s and a remastered version that were both low quality Reply if you’d like me to send you the link when it’s ready - should be the highest quality publicly available version to ever exist
Matt Parkhurst tweet media
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Dan
Dan@dspaccapeli·
@mprkhrst @amasad That’s great, I would definitely love to see your scans!
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Matt Parkhurst
Matt Parkhurst@mprkhrst·
@dspaccapeli @amasad This is the one I was referencing. Text is high quality but images are the hard part. Will make sure to send the scan your way!
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Dan
Dan@dspaccapeli·
@WillManidis Not the same thing but if you are interested, I remastered it from scratch and put it up online. I even printed it and it’s a nice “replacement” spaccapeli.com/i-remastered-f…
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Will Manidis
Will Manidis@WillManidis·
does anyone have a facebook little red book theyll sell me? dms open
Will Manidis tweet media
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Dan
Dan@dspaccapeli·
@HarryStebbings Why do you find it worth sharing? You’ve no horse, but why do you find it interesting?
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Harry Stebbings
Harry Stebbings@HarryStebbings·
90% of guests on 20VC today refuse to discuss politics and the election on the show. Then proceed to declare their support for Trump the minute the recording is over. No horse in this, just an observation.
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Dan
Dan@dspaccapeli·
@tanayj Claude chatbot subscription is a pain. They literally have a problem with their payment processor, there are multiple threads on Reddit. I’ve even tried contacting support but they seem not to care about taking users’ money that way.
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Tanay Jaipuria
Tanay Jaipuria@tanayj·
Estimated OpenAI vs Anthropic revenue breakdown
Tanay Jaipuria tweet media
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Dan
Dan@dspaccapeli·
@LinusEkenstam You are talking about two different things. He’s talking about search auto completions (query recommendations). You’re posting about search queries (actual traffic). His formulation could be misinterpreted, but it’s clear what he meant.
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Dan
Dan@dspaccapeli·
@jasonfried Validation is not seeking certainty but de-risking. De-risking from hunches by politics and ego driven top down ”leaders”. De-risking from spending months building something nobody wants. Validation is insurance which most company (sadly) need.
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Jason Fried
Jason Fried@jasonfried·
Validation is a mirage. Spend enough time talking with entrepreneurs, product people, designers, and anyone charged with proving something, and you’ll bump into questions about validation and certainty. “How do you validate if it’s going to work?” “How do you know if people will buy it to not?” “How do you validate product market fit?” “How do you validate if a feature is worth building?” “How do you validate a design?” You can’t. You can’t. You can’t. You can’t. You can’t. I mean you can, but not in spirit of the questions being asked. What people are asking about is certainty ahead of time. But time doesn’t start when you start working on something, or when you have a piece of the whole ready. It starts when the whole thing hits the market. How do you know if what you’re doing is right while you’re doing it? You can’t be. You can only have a hunch, a feeling, a belief. And if the only way to tell if you’ve completely missed the mark is to ask other people and wait for them to tell you, then you’re likely too far lost from the start. If you make products, you better have a sense of where you’re heading without having to ask for directions. There’s really only one real way to get as close to certain as possible. That’s to build the actual thing and make it actually available for anyone to try, use, and buy. Real usage on real things on real days during the course of real work is the only way to validate anything. And even then, it’s barely validation since there are so many other variables at play. Timing, marketing, pricing, messaging, etc. Truth is, you don’t know, you won’t know, you’ll never know until you know and reflect back on something real. And the best way to find out, is to believe in it, make it, and put it out there. You do your best, you promote it the best you can, you prepare yourself the best way you know how. And then you literally cross your fingers. I’m not kidding. You can’t validate something that doesn’t exist. You can’t validate an idea. You can’t validate someone’s guess. You can’t validate an abstraction. You can’t validate a sketch, or a wireframe, or an MVP that isn’t the actual product. When I hear MVP, I don’t think Minimum Viable Product. I think Minimum Viable Pie. The food kind. A slice of pie is all you need to evaluate the whole pie. It’s homogenous. But that’s not how products work. Products are a collection of interwoven parts, one dependent on another, one leading to another, one integrating with another. You can’t take a slice a product, ask people how they like it, and deduce they’ll like the rest of the product once you’ve completed it. All you learn is that they like or don’t like the slice you gave them. If you want to see if something works, make it. The whole thing. The simplest version of the whole thing – that’s what version 1.0 is supposed to be. But make that, put it out there, and learn. If you want answers, you have to ask the question, and the question is: Market, what do you think of this completed version 1.0 of our product? Don’t mistake an impression of a piece of your product as a proxy for the whole truth. When you give someone a slice of something that isn’t homogenous, you’re asking them to guess. You can’t base certainty on that. That said, there’s one common way to uncertainty: That’s to ask one more person their opinion. It’s easy to think the more opinions you have, the more certain you’ll be, but in practice it’s quite the opposite. If you ever want to be less sure of yourself, less confident in the outcome, just ask someone else what they think. It works every time.
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Dan
Dan@dspaccapeli·
@alexisohanian @garrytan @brettdg @jenhwolf Without more context between your relationship with them, the non malicious read is that they’re congratulating the current team. CEO and team. They simply didn’t think about you.
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Dan
Dan@dspaccapeli·
@razvanilin Congrats Raz! The homepage looks super clean and with a clear tagline/CTA 🔥🔥🔥
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Razvan Ilin (Raz)
Razvan Ilin (Raz)@razvanilin·
Today I finally launched Chartbrew v3 🚀 I started the work on this ~6 months ago and most of the work was done to improve the UX and reposition Chartbrew in the market Still lots of work to do, but the current update is a major improvement. Read more below to see what's new
Razvan Ilin (Raz) tweet media
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Dan
Dan@dspaccapeli·
@GergelyOrosz And an explosion of low-quality public accessible content due to how easy it is to generate generic text through LLMs. This is a big problem. Same signal, higher noise.
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Gergely Orosz
Gergely Orosz@GergelyOrosz·
When the internet went mainstream, there was an explosion of high-quality content online (at least initially) with the goal of reaching more people. With AI going mainstream, there will be an explosion of high-quality content going behind paywalls in order hide from AI crawlers.
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Dan
Dan@dspaccapeli·
@shl What do you have in mind? It’s okay to have work norms. No matter how good you’re. The key is making them clear before hiring. You can’t have these unicorn 1%-ers work however and whenever they want in most cases. “1 %” is anyway a relative fit to your company situation.
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Sahil Lavingia
Sahil Lavingia@shl·
Imagine hiring the world’s top 1% talent and telling them when, where, and how to work
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Dan
Dan@dspaccapeli·
@GergelyOrosz @psmyrdek Which is fair, but you are quote tweeting someone that is focusing on the "technical" side. One major narrative at the time around here was that you needed those amount of engineers to sustain such a product.
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Dan
Dan@dspaccapeli·
@GergelyOrosz @jefferinc This is not necessarily true. Twitter is a platform that was used primarily for brand advertising. Meta's great for performance advertising (see the amazing targeting tooling). One could argue that the ad market shifted to performance advertising and that explains the difference.
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Gergely Orosz
Gergely Orosz@GergelyOrosz·
@jefferinc How did Meta increase turnover when they also sell ads, just like Twitter? They know something Twitter doesn't on running a business (and the ad market) it seems! If their revenue is going up, the ad market doing fine. x.com/GergelyOrosz/s…
Gergely Orosz@GergelyOrosz

What is a more realistic playbook CEOs look to: Meta cut 25% of staff and revenue *increased* and the pace of iteration either unchanged or seemingly up. I’m expecting a lot more businesses to look to how Meta did that and try to follow.

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GREG ISENBERG
GREG ISENBERG@gregisenberg·
I came across Facebook's beautiful employee handbook by Ben Barry for the first time today. And I think every employee and founder needs to see it. Even Zuckerberg-haters will probably be impressed. A sneak peek into 15 pages of the Facebook Employee Handbook:
GREG ISENBERG tweet media
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