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You have a spreadsheet from a press office, a FOIA request or an open-data portal: 3,000 rows, 14 columns and a deadline. Getting a story out of it usually means an afternoon of pivot tables, then a chart tool, then a fight with the CMS.

Datastripes is a browser tool that shortens that afternoon. It reads the spreadsheet and drafts a data story from it, with headline findings, charts and the paragraphs that explain them, and you edit the draft the way an editor would. You still do the reporting. The tool takes the first pass through the data so you have more time for calls, context and copy.

The result

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Hey everyone!
Thank you for all the support on Chopstick, it's been amazing to see all the love for it! We finished the day on #7!
I wanted to share the updates that have gone out since the release:

• Search has improved a lot. With one shortcut you can convert units, do math, view the weather, kill a port or do anything else a widget provides.

• Convert, compress or pass files to your agent by just dragging them onto the notch.

• Multiple new built in widgets including Clipboard History, Caffeinate and Activity Monitor.

• You can view built in and community widgets on https://chopstick.sh/widgets.

• Support for GitHub Copilot.

For a quick ask: I would love to see how you set up and use Chopstick. If you do a 20-minute call with me, I'll walk you through setup and listen to your feedback. In return I'll hand you a free license! If you already bought one, I'll refund you.

Join the discord here and send a quick message to #feedback-calls! I'll keep it to the first 10 people.

Our AI employees have names. Peter is an SDR, Kavya sells insurance, Arjun is a loan officer, Priya handles renewals.

We did it because customers found it easier to talk about "Peter's pipeline" than "the lead qualification workflow." Teams started treating the agents like colleagues with a job, which made it easier to define what each one owns.

When I m scrolling through a list of products, the first thing that catches my eye is usually the logo.

Only then I look at the tagline, and after that, the description.

For us, it s a very simple infinity sign, but it actually says almost everything we want our brand to say.

A loop that keeps running and never gets interrupted
Simplicity
Our brand magenta to cyan gradient

This is the question we spend the most time on with every new customer at UnleashX.

One sales team wanted their AI employee to offer discounts on its own to close deals faster. Sounded fine until we asked, up to how much? Nobody had an answer. Their human reps had never had a written rule, they just knew from experience.

We ended up setting a limit: up to 40% on its own, anything above that goes to a manager. Deals closed faster, and managers only saw the ones that actually needed them.

Turns out giving AI autonomy forces you to write down rules your team has been following without ever saying them out loud.

Following up on the September thread: when we tripled traffic on that small stack (load balancer, two app servers, MySQL), modeled cost went up about 48% on AWS, 54% on GCP and 12% on DigitalOcean. All of the increase came from egress, meaning data leaving the provider's network.

So we wrote up how each provider bills it, with list prices retrieved Nov 3 4, 2026:

• AWS charges $0.09/GB after 100 GB a month.

• GCP Premium Tier charges $0.12/GiB after the first 1 GiB.

• DigitalOcean pools a transfer allowance across your Droplets, then charges $0.01/GiB.

The post also covers five ways to cut egress: cross-zone traffic, CDN and caching, smaller responses, NAT gateway charges, and plan allowances.

www.cloudworldmodel.ai/blog/clou...

What's actually moved your egress bill: a CDN, compression, re-architecting cross-zone traffic, or something else?

To build something, expand an idea into a working plan, or simply give life to something new, we need conversations.

But what happens when you're building alone?

Introducing hn.watch (powered by Explain )

Today, I came across a LinkedIn post that reported rough data on how many people were laid off across the biggest tech companies due to AI:

- canva: 1,271
- microsoft: 5,300
- meta: 10,400
- uber: 3,300
- atlassian: 1,380
- ebay: 1,100
- netflix: 1000
- hubspot: 600
- squarespace: 300
- dropbox: 200
total humans affected: 24,851

I understand the need for the founders to make the processes as effective (AKA layoffs), but it somehow reduces the economic power and ability to buy products (in the long term)

When an AI application misses something, the tempting fix is to retrieve more. More chunks, more documents, maybe the entire attachment. Congratulations, you ve turned your context window into an expensive filing cabinet.

A Graphwise experiment illustrates the alternative. Across 11 questions over a dataset covering 6,000+ companies, graph-grounded retrieval used roughly 75,000 context tokens versus over four million for context stuffing. About a 54 reduction. Their write-up

That s a focused experiment, not a universal benchmark or a claim of 54 lower total costs. Building and maintaining the graph costs something too.

But the architectural lesson is useful. Relationships resolved during ingestion don t need to be rediscovered from raw text on every request. Retrieval can follow explicit connections and return targeted evidence rather than asking the model to reconstruct the connections itself.

An audit of 212 brands found that more than half had zero visibility when AI answered pricing-related questions within their categories.

Consider someone using ChatGPT to compare project management tools. They might begin by asking for popular platforms and then narrow their search to pricing, subscription plans, and features included at different price points.

People still ask what to use instead of Stay, and many old threads about it are out of date: Stay is free now. I wrote down where it stands today, the fixes that need no app, and what Display Maid, Moom, Rectangle Pro, Putback, Workflo and Snapset do according to their own sites. I make Many Displays, so the page also says where my app may not suit you.
https://manydisplays.com/stay-al...
If you have moved from one of these tools to another, I would like to hear about your setup and what made you change.

I ve been researching pre-submission checks for mobile apps. Apple rejected 1.93M of 7.77M submissions in 2024. Google says it blocked over 1.75M policy-violating apps in 2025.

I went through 25 tools that try to catch issues before review. That includes fastlane precheck, Greenlight, Google s pre-review checks and Play Policy Insights, Checks by Google, and several newer AI reviewers. Most check metadata or code. Very few check what the app actually does at runtime against store policy, and none I found publish their accuracy against real rejections.

Mine was an OpenAI model that started refusing a parameter my code still sent.
Every request failed until I found the line and changed it.

I'm curious what broke for you. Which API was it, and how long did it take you to notice?

I guess it s not just me...

We all have friends who inspire us, challenge us, and help us reach our goals. We can count them as part of our building team too =D

But alongside those friends, there are others who drain your energy, fill your brain with unnecessary info and leave you unable to continue working as you planned after meeting them!

You call a company, explain your issue to the bot, get transferred, and explain it again. Then you message them on WhatsApp the next day and start from zero.

The fix isn't a smarter model. It's shared memory: past interactions, decisions and customer context stored in one place, available to every agent and every human with permission to see it. When a customer says "can we pick up where we left off?", the next conversation should already know where that was.

This turned out to be one of the hardest parts of our platform to get right, especially with permissions.

Have you seen a company do this well? Which product made you feel remembered?
Support our launch - https://www.producthunt.com/prod...

When I was in Munich during the summer, the founder of the minimalist phone app was interviewed for a podcast, he mentioned that the entire team consists of only senior people (he also added that he checks the outputs after AI, because he doesn't trust it 100%).

The point is I also see fewer junior positions in companies' career search engines.

You open an app to finish a familiar task. Overnight, an update has moved the controls and changed the workflow.

The new version may be better for someone starting today. For an existing user, it can mean relearning something that already worked.

We hit #1 on Product Hunt on Launch Day!

Ended at #2 Product of the Day!

Then the Product of the Weekend!

Then #5 Launch of the Week

It s Saturday, and most of us continue working anyway...

When I m doing very intellectual tasks, I just put on my headphones - without any music - and concentrate on my thoughts.

But when I need some inspiration, or I m doing some repetitive work, there s always music in my ears.

Every activity has its own type of music for me:

Hey everyone! We recently announced Asymptote Labs' $5.5M seed round and launched Beacon, our open-source, self-improving memory for AI coding agents.

Yesterday, Beacon also hit #1 Product of the Day on Product Hunt!

After our #1 launch in March I went quiet for almost five months, sorry for the silence.
When I came back, my old way of building with AI stopped working.

My Claude and Codex limits were gone in 2-3 days. Codex kept forgetting what the other sessions had done. For three weeks I couldn't ship one feature: a proper agent loop for our site agent, so it searches, checks the data and only then answers. I kept forwarding messages between the two AIs by hand, like a courier.

In the end I set up a harness: one shared space where every AI session, in any tool and on any computer, starts by knowing what we decided, what we tried and what's next. Within two days the stuck feature finally worked. Now my limits last the whole week.

I wanted to share this experience and discuss it here. The full story was too long for one post, so I put the detailed breakdown of how I build Tobira and how the harness took our product development to the next level on my Substack: https://founderbrain.substack.co...

Hi everyone, Dmytro here, CTO and co-founder of Easy-Peasy.AI.

AI Employees goes live on Product Hunt tomorrow, Thursday Nov 5, at 12:01 AM Pacific. You hire AI teammates by role (19 ready-made roles, or describe your own) and brief them in a group chat. The lead splits the work, teammates reply in a thread, and you get one write-up. Each employee has a memory, its own computer and routines that run on a schedule or when an email arrives. Emails, calendar changes and app actions wait for your OK.

Netfox 0.53.0 is out

Settings now moves the way System Settings does

You use one app for notes and another for tasks. A new workspace offers both, with one bill and no copying between them. But its task view is weaker than the tool you already know.

Keeping specialist tools means extra logins and connections to maintain. Moving everything into one place means accepting whatever that app does less well.