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CSMs in high touch B2B SaaS, Have you felt like wasting your time firefighting a bad-fit/overpromised customer who were headed for an inevitable churn or a tax on the organisation’s engineering team demanding custom requirements? Aren’t we responsible for not being able to retain? But no matter what we do we can’t simply convince fish to stay on land! If anyone been through similar situation, could you help me on how to fix it? [l...

So I am a software engineer with zero marketing skills, you see the issue is that I get excited about ideas and start building them and at some point I will get to a stage where product is ready (atleast the MVP) and that's when it momentum dies. I am looking for ideas around how I can market them, I have absolute budget of $0. Any advice will be greatly appreciate (FYI this is the SaaS for which I am trying to break the cycle https://lessonops.com/ )

I've been building a minimalist logic puzzle game called ArrowMind . Every arrow can only move in the direction it's facing. This level took me much longer to solve than I expected. 😅 What's your first move? Download Now

I do client dev work and I am building my own products on the side. No ad budget, so my marketing this month was comments in other people's threads, and I logged every one of them with the views they got. Four of my Reddit comments took comparable effort: 221 views, 15, 12, 9. Same work each time. The only variable was which thread they sat in. Then I ran the same measurement on X. Four replies: 2 views, 2 views, 11 views, and 1,204. The 1,204 one was not better written. It sat under a post ...

We recently launched a SaaS product on Product Hunt and reviewed the traffic behind the campaign link. The link recorded: 431 total requests 292 likely-human requests 71 social-preview fetches 57 automated requests 11 uncertain requests approximately 244 estimated visitors The most interesting source-level result came from X: t . co produced 36 likely-human requests x . com produced 34 preview fetches Both were related to the same platform, but they represented ...

Hello everyone, this post is purely a reflective exercise, hope it helps someone in a similar position. Six months ago I started building my own video editing software to streamline my content production workflow, mainly because I was tired of paying for subscriptions I'd been stuck with for years. That's how VLStudio was born, a video editor with AI built into the workflow. Thanks to it my own production got noticeably faster and cheaper. After using it myself for a while, I figured other p...

I’m working on my first SaaS and marketing is probably the part I know the least about. For people who’ve actually launched and grown a SaaS, what worked best for getting your first users? What would you do if you had to start again from zero today? Any tips or lessons are appreciated!

Learn everything you need to know about Flutter via these 192 free HackerNoon blog posts.

8/1/2026: Trending stories on Hackernoon today!

Meet SpyderBot, winner of a Bright Data award in the Proof of Usefulness Hackathon, building real-time analytics for brand visibility across AI platforms.

Any one got meta score 2.5 (borderline finding) and still accepted to findings previously?? In my case meta review didnot acknowledge the reporting against a wrong review

We received the reviews, but they don't mention whether we should submit a revised version. Should we prepare one? I also couldn't find anywhere to upload a revision. What exactly is the EMNLP commitment deadline? I had assumed we were supposed to upload an updated version. Do you know what they're expecting us to do next?

I am trying to learn concepts like On Policy Distillation (OPD), On Policy Self Distillation (OPSD) and how do they compare to RL algorithms like GRPO. There are a lot of papers on this, but because of limited compute I cannot try these papers out and learn them by implementing them myself. If someone here has worked with these algorithms and their implementation on SLMs (something that can fit a consumer grade GPU like Nvidia RTX 4090 or 5090), can they suggest either a: Github repo, o...

Please post your questions here instead of creating a new thread. Encourage others who create new posts for questions to post here instead! Thread will stay alive until next one so keep posting after the date in the title. Thanks to everyone for answering questions in the previous thread!

I'm trying to decide whether to commit my ARR May 2026 paper to EMNLP or AACL . (first time solo independent author). Final reviews after rebuttal (OA/Confidence/Excitement ): R1: 2.5 → 3 /3/2.5 R2: 2.5 → 3 /4/2.5 R3: 4 /4 /3 Meta: 3.5 (Borderline Conference) The meta-review was overall positive and emphasized the paper's empirical rigor, practical value, and that the rebuttal addressed the main concerns. My recollection is that the AC mentioned they were leaning towa...

This time we have seen the worst meta reviews...may be people are unintersted to do reviews...in my case they did not acknowledge the report at all as well the entire rebuttal. How many are facing the same thing?

I just now posted a small research / ML interp study on symmetries inside the neural nets for an open source Go-playing program that I maintain ("KataGo"). The rules of Go are completely symmetric under rotation/reflection, but such symmetry is not enforced in the models - the only thing we do for that is stochastic 8-fold data augmentation during training, randomizing the spatial orientation of each batch. To what degree do superhuman-strength Go-playing neural nets automatically l...

While working with VLMs for report generation on chest x-rays (RRG), we noticed that evaluation metrics are flawed. Flawed in a sense where they rewarded repetitive templates, reports without clinical terms and reports which were "normal" with high scores on benchmark metrics. Also, clinically meaningful but rare words were erased leaving the generated report looking repetitive and boring. Importantly, of no clinical utility. In the paper below, we discuss this behaviour of VLMs fo...

It's an encoder-only transformer that consumes past(blood glucose + carbs + insulin) and future(carbs + insulin) and predicts future blood glucose for the next 2 hours. Announced meals and boluses/basal are used to condition its predictions. The context size is variable (8 - 24 hours), and model can work in autoregressive mode to predict the next >2 hours. It also predicts time by looking at the context, but it never consumes time. The architecture is BERT-style: bidirectional attention with ...

Half my feed was either panicking or acting like they'd built a new company overnight. Big tech CEOs make it like this, but a new model release doesn't fix a business that has nothing underneath it. If your AI advantage evaporates every time a new model ships, you will have a hard time having a stable business. We run an internal research tool (we call it Scout) trained on a full year of our own company data like sales calls, delivery notes, and how we actually make decisions. It beats a...

Hi guys, Recently made a AI digital twin of mine which also kind of works as my assistant too, for example when you chat with it and ask something which it does not have answer for it will instantly notify me that someone is asking me this question and i do not have answer for that. and if i reply it will be instantly uploaded to the database so next time it can answer. and also if a user is have some conversation with my agent and it feels something important is going on here and it will not...

Been a PT by day, tinkering with code and AI tools by night for a while now. Writing dev tutorials as a side thing. And I keep running into this split where AI tools either make me faster or make me lazier in a way I regret later. Specifically with documentation and code explanation tools. Cursor, Copilot, the Claude API, whatever. They can explain a codebase to you in 30 seconds. But there's a real cost when you skip the part where you actually understand what you built. The flip side is ti...

Everyone hates AI & that hate will likely lead to regulatory capture censorship and the totalitarian dystopia we don’t want. I get why people hate AI and there are things we should be fighting like data centers, but we also should not turn our backs on adaptive resistance and understanding the fight ahead. Understanding that using AI for free makes it less effective for the business model they are trying build. This is not a boycott effective model. This a model where eroding the moat matter...

A bootleg of Spider-Man: Brand New Day was up on X for over seven hours before eventually being pulled. During that time, it reached over 5.9 million accounts and accumulated over 143,000 likes. Other accounts have reposted the leaked film, but none have lasted particularly long, as Disney now seems to be on top of […]

Fenix Flexin is best known as a member of Shoreline Mafia, a rap duo from Los Angeles. But he's recently found solo success with the track "Rubberz," which has climbed to number 58 on the Billboard Hot 100. Almost immediately, though, questions were raised about the song's origins, with many speculating that it was largely, […]

OpenAI's CEO seemed excited to share a "cool use case" for parents.

Apple's new Upgrade program is the latest sign that smartphone ownership is changing.

Green offered a remarkable apology, saying that "the level of dopamine that I've been getting from interacting with LLMs ... is not healthy for me or good for the world."

I'm starting a full-stack project aimed at a problem I kept thinking about: when a recruiter interviews hundreds of students in a day, how fair can the ratings really stay? The problem Think about placement season. One recruiter might interview 50-100+ students back to back. By interview #60, it's genuinely hard to judge everyone the same way. A tired interviewer might mark a correct answer lower than they would've an hour earlier not on purpose, just human fatigue. This isn't ...

When I started learning JavaScript, I kept seeing the same advice: use let and const , don't use var . Usually it came as a rule, not a reason. And a rule you don't understand is a rule you forget — so I went looking for the why . It turns out var isn't just old-fashioned. It's broken in three specific ways, and let and const exist to fix exactly those three things. Here they are. Problem 1: var lets you redeclare the same variable Watch this: var ...