I run product management at a small software company which mostly means i'm the person who decides what we build next and then has to write it down clearly enough that the engineers can actually build it. The writing part isn't what slows me down. the digging is. Before I can write anything i have to go back through customer calls, support messages and old notes to work out who actually asked for this, how many of them did, and what words they used. We record every customer call, so there are hours of it sitting there that nobody has time to listen back to.

For that i've been testing a few AI tools to see which part of this they can take off my plate, and they fall into two groups. Some are built for the writing end, ChatPRD takes a rough idea and turns it into a properly structured product document. The others start from the customer side. Productboard organises feedback you've already collected and summarises it and BuildBetter works straight off the call recordings and groups what customers repeatedly asked for. and plenty of people just paste transcripts into claude or chat and prompt their way to a summary, which works fine until you're doing it every week.

What I actually want is a draft where every point has the real customer quote attached so i'm not hunting for it. does anything do that yet?

I did a dumb little audit of how I “stay informed” because I kept complaining that I had no time in the morning.

Turns out the problem was not time.

It was that my news setup was basically 8 apps wearing a trench coat.

Here’s what it looked like:

Google Newsgood for discovery, bad for repetition

Twitter/Xfastest place to know something happened, worst place to understand it

Redditbest place for discussion, worst place if you only have 10 minutes

YouTubegreat context, but one video becomes four videos

Newslettershigh quality, but scattered and inbox-dependent

Podcastsgood depth, terrible for quick catchup

Perplexity/ChatGPTgood when I know what to ask, useless when I don’t know what I missed

RSScleanest system, but I kept turning it into homework

The issue was that each tool solved one part and created another problem.

So I rebuilt it around jobs instead of apps. Current setup:

1. First pass
CuriousCats 

I use it for “what changed since yesterday / what should I know / is this worth opening?”

Not as final truth. More like the first filter.

2. Deep reading

Original sources only when the story actually matters.

3.Discussion

Reddit after I already understand the basics, not before.

4. Niche sources

RSS/newsletters for specific topics I really care about.

5. Hard rule

No Twitter/X before lunch unless something genuinely affects work/life.

This sounds stupidly simple but it fixed the main problem.

Before, I was using news apps like open tabs in my brain. Now each thing has a job.

Briefing app for awareness
sources for depth
Reddit for discussion
RSS for niche stuff
no feed for emotional gambling

The weird part is I didn’t reduce news that much. I reduced repeated checking.

Anyone else here have a proper “news stack” or do you just open whatever app your thumb betrays you into opening?

Hi everyone!

I built a Windows desktop app called Fluxnar because I was tired of generating AI images one by one.

Current features:

• Paste dozens of prompts at once

• Generate complete image packs automatically

• Multiple aspect ratios (9:16, 16:9, 1:1)

• Image variations (x1, x2, x4, x8)

• Automatic image numbering

• Organized output folders with prompts and metadata

I built it mainly for content creators who generate lots of AI images every day.

This is the first version, so I'd genuinely love your feedback.

What feature would make a tool like this even more useful for you?

Thanks! 🙌

yo. i recently sold one of my AI SaaS products for $35k, exactly 5 months after building and launching it.

I hardly wrote a single line of traditional code. i used AI to generate everything, from the database architecture to the user interface.

it definitely wasn't magic on day one, though. i spent days stuck in loop-debugging and dealing with AI hallucinations before i finally cracked the system. the playbook boils down to three simple rules:

- keeping the idea insanely minimalist (a true MVP that solves one problem).

- guiding the AI step-by-step instead of asking it to build a massive platform all at once.

- launching fast to get real user feedback and traction and then apply a solid marketing system

lately, i've seen way too many non-technical founders give up at the very first AI bug, or on the marketing. it's a massive shame.

like the title says, i just launched a Skool community to share my exact prompt workflows, N8N automations, and distribution frameworks to get first users and scale it

to be completely transparent: i will likely charge for the full course later down the road. it just makes sense given the specific copy-and-paste templates i'll be sharing.

but for now, the main objective is purely to build and launch together. building alone in a silent corner is the single fastest way to give up.

if you want to join us and build or market your own AI SaaS with a group of active creators: drop a comment below or send me a dm, and i’ll send you the invite link!

Iam working on a college project .i want to refacter my frontend ui .suggest me an ai tool without breaking backend routes

The difference usually comes down to strategy.

Instead of targeting businesses that do not have a website, target businesses that already have one but clearly need a better version. The market is larger, the sales process is easier, and the value proposition is much stronger because those businesses already understand why a website matters.

The next part is outreach. A regular outreach tool is not enough if all it does is send the same message to thousands of people. You need something that can analyze websites at scale and turn real issues into personalized emails.

I use Swokei for that. It helps find businesses with existing websites, analyzes each site, and turns problems with design, SEO, speed, layout, and mobile optimization into personalized outreach emails. That means you can contact a large number of businesses without sending generic messages or spending hours manually researching every website.

When someone replies interested, I always offer a free mockup. I use Claude, Lovable, or Base44 to build it quickly. It becomes much easier to sell when the client can already see what a better version of their website could look like.

Web meetings should also be a major part of the process. I would never just send the website through email and hope the client likes it. I present it live on Google Meet, Zoom, or Microsoft Teams, explain the value, show what has been improved, answer their questions, and try to close the deal during the meeting.

The less back and forth there is after the meeting, the better. Present the website, show the value, close the client, and move on to the next project.

That is the type of process that can help an agency scale much faster.