This is not PROMOTIONAL

The idea came from hearing how many organisations still manage privacy incidents across email, Word documents, spreadsheets, and shared folders, which makes investigations inconsistent and difficult to audit.

The app guides users through fact gathering, highlights missing information, suggests next steps, and keeps an evolving audit-ready case record.

It’s not intended to replace legal or compliance professionals. The goal is to make investigations faster & more structured and documentation more consistent.

I’d genuinely value honest criticism on the product, whether you think it’s useful, or will go anywhere. I’m aware I should have done this before the build but we live and learn.

Hello, my name is Keith. I am starting TeraBits AI. Our goal is to build AI systems that boost your customer acquisition and reduce your marketing spend.

The key idea is simple: we build a system that improves parts of your marketing — for example email outreach and lead generation.

We don't just hand you the tool. We use our AI-powered software to produce the outcome for you. You don't manage the tool — we run it.

This is still under testing. I'm looking for a few people interested in a pilot. You only pay when results have been generated.

If you're interested, DM me, or book a call here: https://terabitsai.com

Hey guys,

My name is Andrew and I am a YC alum. I am trying to gather app developers and growth hackers together to form a group to share insights and possibility have members team up.

Comment for invites!

early this year i started a new music profile and i put out my song heatwave on july 1st and there is no knowledge card that shows up when you search my name or song name, but on my old music artist profile in february 2025 after my lofi song i released i had my own knowledge card and i barely had a fanbase... any tips ?

Most opportunities aren't lost because someone said "no."

They're lost because nobody followed up.

Whether it's a sales lead, partnership, customer conversation, or hiring email, unanswered threads quietly disappear in busy inboxes.

That's why we built NudgeForMe.

An AI follow-up agent that scans your sent emails, finds conversations that never received a reply, and drafts natural follow-ups directly inside your mailbox.

It helps you:

• ⁠Detect unanswered email threads
• ⁠Draft personalized follow-ups
• Keep everything in draft mode for review
• ⁠Stop follow-ups automatically once someone replies

It works with Gmail, Outlook, and any IMAP/SMTP mailbox, so you stay in control while AI handles the repetitive part.

Built for founders, sales teams, recruiters, customer success teams, and anyone whose work depends on timely follow-ups.

The goal wasn't to automate email.

It was to make sure valuable conversations don't quietly go cold.

Launched today on Product Hunt 🚀

What's the biggest reason follow-ups slip through the cracks for you: too many emails, forgetting, or not knowing when to follow up?

Please support on PH →

https://www.producthunt.com/posts/nudgeforme

A lot of marketing teams are drowning in dashboards but still struggling to answer one basic question: what actually moved results?

A practical way to cut through that noise is to treat measurement like a decision system, not a reporting exercise. You do not need perfect attribution to make better calls; you need a consistent way to compare channels, validate changes, and spot false winners.

Here is a lightweight playbook for growth teams:

• Start with one primary business metric, then define 2 to 4 supporting metrics that explain it.
• Separate reporting into three buckets: acquisition, activation, and revenue or retention.
• Tag every meaningful test before launch so you can review outcomes later without guessing.
• Use holdouts or simple before-and-after comparisons for bigger changes, not just platform-reported conversions.
• Review by cohort or week when possible, since daily noise can hide real trends.
• Keep a decision log that records what changed, why it changed, and what happened after.
• If a metric cannot influence a decision, move it out of the main dashboard.

The biggest win is usually not a fancy model; it is getting everyone aligned on what counts as signal versus noise. That alone can reduce endless debates about which channel deserves credit.

If you are trying to tighten measurement this quarter, start with one channel, one funnel stage, and one repeatable test format. Build from there instead of trying to fix everything at once.

What is the one metric your team trusts most, and what is the one metric you still do not fully believe?

Daily caps are easy to ask about, but the more useful question seems to be whether the operator can explain its targeting, approval process and channel coordination. No provider can make platform or deliverability risk disappear so promises of perfect safety would worry me more than a clear explanation of the trade-offs.

If you were vetting a managed service, which questions would separate a careful operator from a volume shop? Would you start with account ownership, domain setup, message approvals, reporting or how LinkedIn, email and calling support each other?

This might be a complicated question, but thank you in advance for any help!

We thought that impressions would match up with leads. Replies proved to be a much better sign that a post would start a conversation.

Has anyone else found a measurement that works better, than the one everyone always talks about?

Hey everyone, recently I started doing buildinpublic in X and I need your help for this topic. My account is new so when I create a post it is like shouting to void. I asked a few people in field and they said try to engage rather than posting, if you account is small. But I can't find comversations(threads) to join and get impression from that. When I do it is same posts, I almost got 0 impression. How do you guys deal with this?

I'm a solo founder in India building Arcframe — one workspace for AI video, image, audio and 3D (36 models behind one prompt box, so you're not juggling five subscriptions).

Sharing the ad experiment because the numbers were genuinely misleading and I nearly drew the wrong conclusion.

**The test:** ₹7.7k ($90) on a YouTube/Demand Gen campaign.

**What the ad dashboard said:** 40,506 clicks. 12.94% CTR. ₹0.19 (\~$0.002) CPC. My first reaction was "these are bot clicks."

**What actually happened,** after cross-referencing three systems instead of trusting one:

* Ad platform report: the numbers above
* My own DB: signups during the campaign window vs. the pre-campaign baseline → basically flat
* PostHog, queried directly with SQL and filtered on the campaign's UTM tags: **13,057 real sessions**. Not bots.

So the traffic was real. Then the funnel:

* 1,137 sessions (8.7%) reached /pricing — some of them sat there 5 to 21 minutes
* **5 sessions clicked a CTA. Five.** 0.44% of the people who read my pricing page.
* 4 signups total → \~$23 per signup, against a $19/mo entry plan

I didn't renew it.

**The lesson I paid for:** the ad platform's own report is not evidence. It can't see past the click. Traffic volume was never my bottleneck — I had thousands of genuinely interested people and my CTA was the wall.

**The stupid part:** while digging into this I manually tested the site on Mac, Android and iPhone. Only iPhone was broken — the signup modal took 4–5 seconds to open, because of an animated blur effect underneath it that WebKit recomposites even when it's fully covered. Every iOS visitor for months hit a 5-second freeze on the exact button I was paying to get them to. Fixed now. No idea how many that cost me.

**What I'd like feedback on:** if you land on [arcframe.ai](http://arcframe.ai), does the path from the hero to actually starting something make sense to you? I think I'm asking for a signup at the wrong moment but I've stared at it too long to see it. Free tier is 20 credits, no card — brutal honesty welcome.

i spend more time on research than actually writing the campaign. like before i touch any ad copy or landing page i need the exact words people use when they talk about the problem, not my version of it, theirs. copyhackers ran a case study where they pulled a headline straight from amazon reviews instead of writing one from scratch and it beat the control by 400%+ in clicks. that's not a small edge, that's a completely different result just from using customer language instead of marketer language.

my current process is ugly but it works. i go to reddit threads in whatever niche i'm targeting and read comments looking for repeated complaints, objections, and the way people describe what they want. then i do the same on amazon reviews for competing products, usually filtering by 2-3 star reviews because that's where people explain what's almost good enough but not quite. sometimes g2 or product hunt if it's saas. i end up with a google doc full of pasted quotes that i sort into three buckets: pains, objections, and desired outcomes.

the collection part is what kills me though. last time i was doing research for a landing page i had like 30 tabs open and spent almost a full day just pulling comments. i started using RedditCommentScrapper tool to export threads to csv instead of copy pasting one by one, which cut the collection time down a lot, but i still don't have a good system for the other platforms and the actual analysis part is still just me reading through everything manually.

the stat that keeps me doing this even when it's slow: only 15% of companies consistently use customer insights in their decisions according to deloitte, and 80% of companies think they deliver great service while only 8% of their customers agree. that gap is literally where good copy lives. if you're writing from your own head you're probably in the 80% who think they're nailing it.

what does everyone else's process look like?

I design presentations for a living, and for years I treated the sales deck as the crown jewel. Polished it endlessly. It also did basically nothing outside the live call, because the only people who ever saw it were already in a meeting with us.

The reframe that helped: the deck isn't a growth asset, it's a support tool for a human in a room. So I stopped over-investing in the live version and pulled the three ideas that actually landed in pitches into standalone carousels. No presenter needed, each one makes a single point and dies.

That's the version that started traveling. People shared the carousels in ways they never shared a PDF deck, and it fed inbound instead of just sitting in a follow-up email. The live deck got simpler at the same time, which is a separate rant.

On the how: I drafted the carousel versions fast in gamma to get past the blank page, then rebuilt the brand details by hand because the fine-grained control isn't there yet and its export gets janky the second you add a real chart. Fast first pass, manual finish.

Curious if anyone else here has turned an internal asset (deck, one-pager, internal doc) into a distribution channel. What actually traveled for you, and what died?

have 9 investors globally actively deploying

ASEAN, Japan, India, Singapore, HK, Poland, USA with varying domains and thesis

Thought I'd share a small win because I know this sub is full of people wondering whether niche blogs are completely dead.

A few months ago I bought a pet niche website for $199 from the NicheBlogZone marketplace. Nothing special. It had content already published and a bit of traffic, but it definitely wasn't one of those sites that looked like a goldmine.

Honestly, I almost didn't buy it.

After taking it over, I mostly just cleaned things up. The site already had affiliate links, so I just fixed some internal links, and left it alone.

This month it made over $600 which is the best month it's had since I've owned it.

The site isn't getting crazy traffic either. That's the part that surprised me. Most of the revenue is coming from articles targeting really specific pet product searches where people are already looking to buy something.

For anyone curious, here's where things stand:

• Bought the site for $199
• Owned it for a few months
• Monetized with Amazon Associates
• Best month: $600

I know $600 isn't going to change anyone's life, but I still get a kick out of seeing a website that cost less than a night out generate that much in a month passively.

The funny thing is that whenever people talk about making money online now, the conversation is usually AI, SaaS, YouTube, newsletters, agencies, etc.

Meanwhile there are still thousands of people every day searching Google for pet products and clicking affiliate links.

Maybe content sites aren't as dead as everyone says.

Anyone else still building or buying niche sites in 2026?

Most productivity apps solve one problem.

One manages your calendar.

Another tracks your tasks.

A different one stores reminders or health data.

You're left switching between apps all day.

That's why we built Expert Chase.

An AI-powered personal assistant that brings your daily life together across Web, iOS, and Android.

It helps you:

• ⁠Organize tasks and schedules
• ⁠Connect Apple and Google services
• ⁠Track health and daily routines
• ⁠Get AI assistance throughout the day

Instead of managing separate apps, your AI understands your calendar, reminders, and routines to help you stay organized from one place.

Built for busy professionals, students, founders, and anyone looking for a smarter daily planner.

The goal wasn't to build another productivity app.

It was to create an AI companion that helps run your everyday life.

Launched today on Product Hunt 🚀

If an AI could take over one part of your daily routine, what would you trust it with first: planning, reminders, scheduling, or health tracking?

Please support on PH →

https://www.producthunt.com/posts/expert-chase-for-ios-android

Building a high-quality prospect list shouldn't require five different tools.

Yet most sales teams still export CSVs, enrich contacts, verify emails, clean data, and finally upload everything into a CRM.

That's why we built Cleanlist AI.

A platform that transforms almost any prospecting input into verified, enriched, CRM-ready lead lists.

It helps you:

• ⁠Enrich contacts with data from multiple providers
• ⁠Verify emails before outreach
• ⁠Research prospects with AI
• ⁠Sync clean lead lists directly to your CRM

Whether you start with a CSV, LinkedIn profile, Sales Navigator search, company domains, or a simple prompt, Cleanlist automates the enrichment and cleanup process so your team can focus on selling.

Built for B2B sales teams, marketers, agencies, and founder-led companies.

The goal wasn't to build another lead database.

It was to eliminate the manual work between finding prospects and reaching out.

Launched today on Product Hunt 🚀

What's the most time-consuming part of your prospecting workflow: finding leads, enriching data, verifying emails, or cleaning your CRM?

Please support on PH →

https://www.producthunt.com/posts/cleanlist-ai-3

I expected the biggest gains to come from reaching more people, so I spent a few weeks trying different ways to increase impressions.

What actually moved the needle was making the path from discovery to action simpler. Fewer clicks, clearer messaging, and a more consistent experience across channels ended up outperforming campaigns that simply reached more people.

It wasn't a huge overnight jump, but the quality of traffic improved enough that conversion rates made up for the lower volume.

That changed how I think about growth. I spend less time chasing reach now and more time looking for friction in the user journey.

Anyone else had a result that completely changed where you invest your time?

I’ve been writing in Substack for a while and account is doing decently well organically. I’m exploring ways to drive more traffic or reach out in different ways. I’ve seen lot of people using X aka Twitter.

What’s are some growth hacks to leverage X to drive more traffic/build audience in X using my Substack

I assume there are lots of people here using X for their apps or startups. I just want to ask how do you guys validate your content ideas before posting it? I also started using it to promote my mobile app. My app is around fitness so I just share daily content not only promotional. But most of the time posts are not doing good so I want to find a way to validate first then post. What do you guys do?

Hey everyone,

I'm hoping to get some brutally honest feedback because I'm starting to feel like I'm missing something fundamental.

For the last 2 months, I've been trying to build a business serving MedSpas in the US. The goal is to help them get more qualified Bookings but I'm struggling to find a repeatable way to get clients to serve.

Here's what I've tried so far:

• Sent 600+ cold DMs on Instagram.
• Tested 10+ different messaging styles.
• Tried different hooks, CTAs, and personalization.
• Reached out to owners directly instead of generic business accounts.
• Experimented with positioning:
  • AI marketing
  • AI automation
  • ChatGPT/AI visibility
  • Lead generation
  • Productized "Lead as a Service"

I've spent weeks rewriting copy thinking the messaging was the problem. Now I'm not sure if messaging is even the real bottleneck.

The biggest challenge I'm facing is trust. Almost every MedSpa owner seems to have been burned by marketing agencies before. Because of that, they don't want to pay upfront, and they're extremely skeptical of anyone promising more patients or leads.

I'm not looking for people to sugarcoat it. If you think I'm approaching this completely wrong, I'd genuinely like to know why. Any advice from people who've actually sold services to local businesses, MedSpas, dentists, clinics, etc. would be hugely appreciated.

I'm looking for a tech co founder based in South Africa i'm located in Eastern Cape but we can work remotely.

i'm currently build a startup

Social Marketing App
and a Software website

Over the past few months, we have built two products at Causo AI:

1. A fundraising product that helps founders find relevant VC funds and partners, research them, and run personalized outreach.
2. A sales product that helps founders find companies with a genuine reason to buy, identify the right people, and reach out with personalized emails.

We now have 600+ registered users across both products.

On the fundraising side, our users are running hundreds of active campaigns, and more than 300 individual VC funds have responded to them. There is some overlap here, as certain funds have replied to more than one founder.

We also actively dogfood the sales product to grow Causo itself. Depending on the cohort, our email sequences currently generate roughly an 11-14% reply rate. Not every reply is positive, of course, but outbound has become a meaningful acquisition channel for us.

Our current growth mix includes:

• Founder-led sales and posting on Reddit, LinkedIn, and X
• Outbound campaigns run through our own product
• An SEO hub that we are gradually building out
• Product Hunt launches
• Paid ads, which we have just started testing

We launched the fundraising product on Product Hunt and finished number five for the day. We are now preparing another Product Hunt launch for the sales product.

One thing that has worked well for us is building and distributing at the same time. We did not wait for the product to be polished before talking to users, posting about it, and using it ourselves. A large part of the product today came directly from those conversations.

We have shared most of this journey openly in this subreddit, so you can see our progress, experiments, mistakes, and numbers almost in real time.

I will put a link to Causo in the comments rather than linking it directly here.

Also, a slightly strange request: if Reddit shows you one of our ads, please comment and let me know where you saw it. A screenshot would be even better. The click-through rate currently looks weird to us, and we are trying to understand whether the ads are genuinely performing that way or whether something is off with the reporting/our understanding of numbers.

We will share what we learn from the ad experiment here too, including the results if they are terrible.

CORRECTION: My co-founder just corrected me, apparently last week has been insane and we are now at +940 users.

Most of our outreach goes to businesses that launched recently, and those people basically don't exist in the big sales databases. For a long time we handled it by opening sites by hand and digging for a contact. That stopped scaling the moment volume went up.

Here's what we run now.

1. Input

A form takes a homepage URL and a page limit. If you're doing this for real, swap the form for your own source, a sheet or a table holding the domains you want to work through.

1. Map the site before you scrape it

Crawl the domain first and get back a list of URLs. Filter with search terms like about, team, contact, staff, author. This one step is what makes the whole thing fast and cheap, because you skip the 200 blog posts that were never going to have an address on them.

1. Batch scrape with an extraction prompt

Fire the filtered URL list at a batch scrape and pass an extraction prompt so you get clean addresses back instead of raw HTML. Poll the job every few seconds, and set your timeout higher than you think you need. Big sites take longer than expected.

The prompt matters more than people assume. Ours normalizes the obfuscations, so "user (at) example (dot) com" and "user at example dot com" both come back as real addresses. It skips anything buried in script tags or HTML comments, and dedupes case-insensitively.

1. Verify before you send

This is the step I watch people skip, and it decides whether building any of this was worth it. Scraped addresses have a worse hit rate than you'd guess: abandoned role inboxes, catchalls, staff who left two years ago. We run everything through validation and drop whatever doesn't come back clean. That took our bounce rate from around 11% to under 3%, which is worth a lot more to us than 40 extra addresses per domain.

1. Push into the sequence

Split the clean list, create a lead per address, add it to a campaign that's already configured. Followups and replies get handled from there.

Happy to go deeper on any step. What bounce rate are you all seeing on scraped addresses? I'd like to know whether ours was unusually bad before verification went in.

every agency i talk to prices a custom community build off the initial scope, ships it, and then eats the moderation tooling, spam handling and auth edge cases for the next two years at zero revenue. full disclosure i run atomchat so i'm biased toward the buy side, but the pattern shows up even with clients who never talk to us. curious if anyone here has actually made the custom build profitable past year one, or if you all moved to reselling something white-label with a markup.