MoneytizedLabs

From idea to implementation: The app that'll help founders from idea -> implementation -> release -> marketing -> Success is in the content creation phase. 75 clear/distinct points already written! Many more to go ;) Wish I could start writing the actuall app but I would never be done with writing. Priorities ;)

Pt7. c. If you want some informational back and forth, always switch Claude on ask mode d. If you want to build or change something that is completely irrelevant to your previous prompts, always in a new chat window! Hope it helped! 🤘

Pt6. b. If you want to debug something that you're not building in a chat you're currently running, either go to the chat history and open that chat to help LLM get a better understanding, or open a new chat to just let the LLM load the context window it needs.

Context is king, especially on LLMs. But it can 24x your expenses for a single command... Learn why and what to do about it in 4 different ways:

Building Mode: ON 🔥

@chrispapa Something in between :) need some batteries full as well :)

Happy Sunday all! What you working on? Or are you just chilling today?

@T_Zahil Good initial measure to not index junk in google as well and get penalized :)

👮🏻‍♂️ New rule on Uneed Products now need at least 5 upvotes on launch day to stay live and keep their backlink for life. I want to keep the platform clean and full of actually useful stuff, not random submissions that nobody cares about 🤷‍♂️

@upen946 And time, they do pay well for time :)

The biggest SaaS lesson I’ve learned: People don’t buy features. They buy outcomes.

@alexoakdev Why not 200 cpm?!? Hahahahhaah

you can't make this stuff up man😭🤣

@_devJNS Totally, it's all about applying logic and problem-solving skills. Memorization is just a byproduct of the old way of learning.

you don’t need to memorize syntax. google exists, AI exists. what you need is logic.

@thejustinwelsh Me too! Less noise, more signal is always welcome

Suddenly, my X "for you" feed is entirely different. Less culture wars/politics, and more content from people I like about topics I care about. More of this, please.

@levelsio That's a fair point. Bootstrapped companies need to be sustainable too!

Try remove your free plan Free plans are for VC funded companies, not bootstrapped You don't have the luxury of subsidizing the entire world's usage in the hope a tiny % converts

@gregisenberg Love that they're sharing the Social graph details. This could help us understand how our following connections impact our feed.

X just open-sourced the code for the “For You” algorithm Everything you need to know in 1 tweet and 1 image: 1. The Raw Inputs (Data) Everything starts with three big buckets of data: - Social graph → who you follow, who follows you, your network connections. - Tweet engagement → likes, retweets, replies, bookmarks. - User data → your profile, behavior, what you click, what you ignore. This is the “fuel” that powers the whole system. 2. Feature Engineering The raw data runs through different models/features that try to make sense of it: - GraphJet → real-time graph of tweets, retweets, follows. - SimClusters → groups people and tweets into communities of interest (like “AI Twitter” or “NBA Twitter”). - TwHIN → Twitter’s “heterogeneous information network,” basically a map of user-to-tweet relationships. - RealGraph → predicts the strength of connections between users. - TweepCred → credibility scoring. - Trust & Safety signals → moderation, blocks, mutes, NSFW filters. Think of this layer as the “filters” that figure out what’s worth even considering. 3. Candidate Sourcing (Home Mixer) This is where tweets get pulled in as “candidates” to potentially show you: Search Index (find relevant tweets directly) - CR Mixer, UTEG, FRS (different mixers pulling tweets from clusters, graphs, and recency) They pull from different pools so you don’t just see the same circle of people. 4.Heavy Ranker Now the candidates run through a big neural network (the heavy ranker). It scores tweets based on predicted engagement: likelihood you’ll like, retweet, reply, spend time reading. 5. Heuristics & Filtering After the ML ranker, some hand-coded rules kick in: Social proof → is it liked by people you follow? - Author diversity → don’t show 10 tweets in a row from the same person. - Visibility / T&S → block spam, NSFW, muted accounts. - Content balance → avoid overwhelming you with one type of content. - Feedback fatigue → avoid showing you the same tweet repeatedly. 6. Mixing Finally, the ranked tweets get mixed with: - Ads (obviously). - Who to follow suggestions. 7. What does this mean for you? Probably not much. - Pick a niche - Write valuable tweets - Reply to people in your niche with value - You'll grow and build an audience X is a beautiful place to grow an audience to meet interesting people and get insight for what businesses to build for It's worth being here. Enjoy.

@HarunRRayhan TweepCred score plays a huge role in what we see, thanks for sharing your research

X (formerly Twitter) released its latest For-You algorithm. I tried to understand it using Claude Research. Here is a summary of my research. Key insight: Author replies are worth 150x more than likes. And the TweepCred score is very important. x.com/XEng/status/19…

@upen946 Agreed, over-engineering can be a money pit. Focus on what's essential first

How to NOT make money in SaaS: - Build more features - Skip validation - Avoid marketing

@DigitalMasterCh @LindaGrass0 Starting small can make a huge difference - what's one small step you're taking today to boost your motivation?

Looking for some motivation? Here are a couple of steps you can take to find it. Infographic rt @lindagrass0 #Motivation #Strategy #Entrepreneurship

@Mintran201 Wise words! Charging from the start might be hard, but it sets clear expectations and helps prioritize development.

The Pricing Trap #startup