u/createvalue-dontspam

Could warm intros become the default for outreach again?

Could warm intros become the default for outreach again?

Cold outreach used to work.

Now?

Everyone gets flooded with cold emails, generic LinkedIn messages, and automated sequences every day.

The problem usually isn’t the message.

It’s that there’s no real connection behind it.

We kept asking:

What if you could instantly find the warmest path into any company?

So we built WarmIntro.

Drop in your LinkedIn profile + a target company, and WarmIntro:

  • ⁠finds shared schools & employers
  • ⁠detects overlapping experience
  • ⁠matches similar roles & departments
  • ⁠ranks the warmest connections automatically

Instead of guessing who to contact, you start from genuine shared context.

Built for:

  • ⁠sales teams
  • ⁠recruiters
  • ⁠founders
  • ⁠investors
  • ⁠job seekers
  • ⁠anyone tired of cold outreach

We launched today on Product Hunt 🚀

Curious:

What’s your biggest frustration with outreach right now?

Please show your support on PH → https://www.producthunt.com/posts/warmintro

u/createvalue-dontspam — 20 hours ago

What if one person could run an entire company with AI agents?

Most founders don’t just build products.

They manage:

  • ⁠marketing
  • ⁠operations
  • ⁠engineering
  • ⁠planning
  • ⁠coordination
  • ⁠endless context switching

At some point we asked:

What if one person could run an entire company with AI agents?

So we built Tycoon AI.

Tycoon gives you:

  • ⁠an AI CEO named Astra
  • ⁠AI agents for coding, growth & operations
  • ⁠autonomous execution across workflows
  • ⁠approvals only when decisions matter

You give Astra a goal like:

“10x traffic this month” or “Launch onboarding flows”

She creates the plan, assigns agents, tracks progress, and manages execution.

The goal wasn’t “another AI assistant.”

It was building an AI operating system for one-person companies.

We launched today on Product Hunt 🚀

Curious: What part of running a company would you delegate to AI first?

Please support on PH →

https://www.producthunt.com/posts/tycoon-ai

u/createvalue-dontspam — 20 hours ago

every extra interview round is a question you didn't answer in the previous one

I've been sitting with this idea for a while and I'm not sure how to say it diplomatically, so I won't try.

If you've run a skills assessment, and then a phone screen, and then a first-round interview, and you still don't know whether someone can do the job, the issue probably isn't the candidate. It's that you weren't clear on what you were actually hiring for when you wrote the job description.

I've noticed this in our own process. We'd add a round because someone on the panel "wasn't sure yet." But when I'd ask what they needed to see that they hadn't already seen, nobody had a real answer. The extra round was anxiety management dressed up as due diligence.

We've tried TestGorilla for skills screening and structured scorecards in Greenhouse, and both have helped. But the thing that helped most was forcing ourselves to define the exact decision criteria before the first interview, not after the second or third.

We're not perfect at this. But our process is shorter now, and we're losing fewer candidates to drop-off late in the funnel.

Curious if others have been here. What actually helped you tighten the process without it feeling like you're cutting corners?

reddit.com

What happens when AI can execute store optimizations directly?

Most ecommerce AI tools still stop at suggestions.

They generate ideas.

Write copy.

Recommend changes.

But store operators still have to:

  • ⁠manage workflows manually
  • ⁠update listings themselves
  • ⁠monitor SEO constantly
  • ⁠coordinate growth across channels

We kept asking:

What if AI didn’t just advise ecommerce operators… but actually operated like one?

So we built StoreClaw.

An AI commerce platform with agents that:

  • ⁠optimize store performance
  • ⁠improve SEO & listings
  • ⁠execute ecommerce workflows
  • ⁠monitor revenue opportunities
  • ⁠connect directly into your existing store stack

The goal wasn’t another chatbot.

It was building agents that know how to sell.

We launched today on Product Hunt 🚀

Curious: What’s the most time-consuming ecommerce workflow for your team today?

Please support on PH →

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

u/createvalue-dontspam — 2 days ago

we thought we were being thorough. the candidate experienced us as completely absent.

This is something I've been sitting with for a while now.

We had a strong candidate in process for a senior role. Internally, everything looked organised to us. Our slack threads were active, calendar invites were out, and the hiring panel was aligned. From where we were sitting, the process was moving.

But… from where she (the candidate) was sitting, we had gone silent for 23 days.

She didn’t receive any update after the second round (not even the industry-standard "we're still in process" note).

Thus, she had no idea if we were deliberating or if she'd been quietly passed over. Therefore, she kept interviewing elsewhere. By the time we came back to her with an offer, she'd already accepted one.

We didn't ghost her intentionally. But she had no way to know that.

I think about this a lot now. The internal experience of a hiring process and the candidate experience of the same process are sometimes completely different things, and you won't find that out until someone tells you.

We've changed a few things since. Updates go out between rounds now, even when there's nothing concrete to say. Skills screening moved earlier, so we're not that deep into a process with someone before we catch a gap.

Has anyone built a systematic approach to candidate comms mid-process? Or is this still mostly a manual thing for your teams?

reddit.com
u/createvalue-dontspam — 3 days ago

What if your whole team could collaborate with AI together?

Most teams already use AI.

But not together.

AI work happens in private ChatGPT tabs, isolated prompts, scattered docs, and disconnected workflows.

Meanwhile:

  • ⁠context gets lost
  • teammates duplicate work
  • ⁠prompts stay hidden
  • ⁠teams constantly switch between apps

We kept asking:

What if AI wasn’t a separate tool… but part of the team workspace itself?

So we built Mantle Chat.

A collaborative AI workspace where teams can:

  • ⁠chat with AI directly inside conversations
  • ⁠mention GPT, Claude, Gemini & more
  • ⁠build shared AI agents & workflows
  • ⁠connect tools like Notion, Linear & Gmail
  • ⁠keep team knowledge visible & reusable

The goal wasn’t “another AI app.”

It was making AI feel collaborative instead of isolated.

We launched today on Product Hunt 🚀

Curious:

How is your team currently using AI together or separately?

Please show your support on PH → https://www.producthunt.com/posts/mantle-chat-2

u/createvalue-dontspam — 3 days ago

Would you trust an AI assistant to call businesses for you?

Most AI assistants can write emails, summarize docs, and answer questions.

But the moment something requires a phone call…

suddenly you’re back to doing everything manually.

Booking restaurants.

Calling vendors.

Waiting on hold.

Navigating IVR menus.

Dealing with spam calls.

We kept asking:

Why can’t AI just handle phone calls like a real assistant?

So we built PollyReach.

An AI voice agent that gets:

  • ⁠a real phone number
  • ⁠natural voice conversations
  • ⁠outbound & inbound calling
  • ⁠summaries, recordings & transcripts

It can:

  • call businesses for you
  • ⁠answer your phone 24/7
  • ⁠screen spam
  • ⁠handle conversations in 50+ languages

The goal wasn’t “another AI tool.”

It was giving AI the ability to operate in the real world through voice.

We launched today on Product Hunt 🚀

Curious:

What’s the first phone call you’d delegate to AI?

Please support on PH →

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

u/createvalue-dontspam — 3 days ago

Why does mobile test automation still feel broken?

Most mobile test automation tools still break for the dumbest reasons.

A button moves.

A selector changes.

A screen gets redesigned.

Suddenly half the test suite fails and engineers spend hours maintaining automation instead of shipping product.

We kept asking:

Why are mobile tests still so fragile in 2026?

So we built Drizz.

A Vision AI mobile testing platform where you simply describe what you want to test in plain English.

Drizz:

  • ⁠understands the app visually
  • ⁠generates the full test automatically
  • ⁠runs it on real devices
  • ⁠adapts when the UI changes

No XPath headaches.

No flaky selectors.

No constant maintenance loops.

The goal wasn’t “more test automation.”

It was making mobile testing feel reliable again.

We launched today on Product Hunt 🚀

Curious:

What’s the most frustrating part of mobile testing for your team?

Please show your support and share your feedback on PH → https://www.producthunt.com/posts/drizz-2

u/createvalue-dontspam — 3 days ago

How are you handling per-app remapping without it becoming a maintenance project?

I've got a macro pad set up for dev work but I keep falling off maintaining the profiles. Every time my workflow shifts slightly I have to go back in and remap things, and eventually I just stop using it.

Curious if anyone's found a setup or approach that basically runs itself. I want the keys to be useful in VS Code, different in terminal, different again on Zoom calls, without me having to babysit it.

Is anyone actually pulling this off or is constant maintenance just the tax you pay?

reddit.com
u/createvalue-dontspam — 4 days ago

What are consultants using now to make decks faster?

Junior consultant here. I swear half my life is just moving boxes around in PowerPoint.

Not even the strategy part. Literally formatting slides for hours.

I’ve seen people mention AI slide maker tools but most recommendations online feel fake as hell. Curious if anyone here is actually using one in real workflows for client decks/internal presentations.

Mostly looking for something that helps with first drafts and structure.

reddit.com
u/createvalue-dontspam — 4 days ago

What if AI agents managed themselves instead of your tabs?

Most AI agent tools promise automation.

But in reality?

You still spend the day:

  • ⁠switching tabs
  • ⁠checking outputs
  • ⁠coordinating tools
  • ⁠re-prompting agents
  • ⁠managing workflows manually

At some point we realized:

AI agents were creating more operational overhead instead of reducing it.

So we built LobeHub.

A Chief Agent Operator (CAO) that:

  • ⁠assembles the right agents automatically
  • ⁠routes work across models
  • ⁠runs tasks in parallel in the cloud
  • ⁠connects into Slack, Discord, Telegram & more
  • ⁠only checks in when decisions actually matter

The goal wasn’t “more AI tools.”

It was building a system where agents collaborate, while humans stay in control without staying online all day.

We launched today on Product Hunt 🚀

Curious:

What’s the most frustrating part of using AI agents today?

Please support on PH →

https://www.producthunt.com/posts/lobehub-2

u/createvalue-dontspam — 4 days ago

Get found by AI recruiters before humans even see you

Most people think LinkedIn is for humans.

But today, AI recruiting tools often decide whether your profile gets seen at all.

Platforms like HireEZ, Juicebox, and Gem scan profiles before recruiters ever open them.

The problem?

A lot of qualified people are practically invisible because their profiles aren’t optimized for how AI systems interpret skills, positioning, and experience.

So we built Crustimate.

You paste your LinkedIn URL and instantly get:

  • an AI visibility score
  • ⁠profile weaknesses hurting discoverability
  • ⁠rewritten positioning suggestions
  • role-fit analysis
  • ⁠company matches
  • ⁠recruiter outreach templates

No login.

Free to use.

Takes about 30 seconds.

Curious: Do you think AI recruiting tools are helping hiring or making it worse?

Please show your support on PH → https://www.producthunt.com/posts/crustimate

u/createvalue-dontspam — 7 days ago

She told us exactly why she took the other offer. We had no comeback.

We spent six weeks on a hiring process. Finalised three candidates for final-round. To our dismay, all three had gone before we made an offer.

Usually, we don’t try to find out the reason for drop-offs. and just move on.

This time we did, and one of them replied to my follow-up email. She was polite about it. She said she'd been in our process since week one and had heard nothing between stages. By the time week four rolled around she'd started to assume we either weren't serious or had already moved on. So she started seriously engaging with another company that was actually giving her timelines.

She wasn't difficult. She wasn't being impatient. She was a professional managing her own search the way any sensible person would.

The thing that stayed with me was that we thought we were being thorough. She experienced us as being absent.

We've changed a few things since. Skills screening goes much earlier now, so we're not six rounds deep on someone before we find out there's a gap. Async video interviews before the first live call have shaved real time off the front end. And we send updates between stages, even when there's nothing new to report, because "still in process, here's what's next" is apparently a thing candidates actually need to hear.

Anyone else been on the receiving end of that kind of honest candidate feedback? What actually changed in your process because of it?

reddit.com
u/createvalue-dontspam — 8 days ago

Why does bedtime always turn into doomscrolling?

Most sleep apps are just scoreboards.

“Congrats, you slept terribly.” Thanks. Super helpful. 😂

The real problem was never tracking sleep after it happens.

It’s actually falling asleep in the first place.

But instead of fixing that, the industry gave us:

  • ⁠more charts
  • ⁠more notifications
  • ⁠more reasons to check our phones at 1 AM

Late-night doomscrolling, stress, racing thoughts, bad routines, noisy rooms, that’s what actually ruins sleep.

So we built Naptick AI.

An AI sleep companion designed to help before sleep begins.

It:

  • ⁠runs adaptive sound + light routines
  • ⁠reduces phone distractions
  • monitors room conditions
  • ⁠includes an AI sleep coach
  • ⁠learns what helps you sleep better over time

Because maybe the worst place for a sleep app… is on the device keeping you awake.

What’s your unpopular opinion about sleep apps?

We launched today on Product Hunt and would genuinely love feedback.

Please show your support and share your feedback on PH → https://www.producthunt.com/posts/naptick-ai

u/createvalue-dontspam — 8 days ago

every application looks the same now and I'm not sure the resume is worth anything anymore

I have noticed something weird lately. The quality of applications from candidates has improved on paper, but in reality it is substandard.

Their cover letters are flawless. There is no doubt they don't have any typos. They have strong structures and all the relevant keywords for the job they are applying to. However, when we get on a call with them and try to ask them to explain their experiences, they are unable to explain half of what they have written with that clarity.

The volumes of applications don't help either. We posted for a mid-level role and had over 500 applications in 2 days. They all looked similar, following the same template.

To curb this, we made a few changes that have helped, not solved it, but helped. We added a short skill assessment before scheduling any interviews and saw the volume drop sharply. We also introduced async video screening early on, which gave us a much better understanding of whether someone had actually understood the role. We quietly dropped the cover letter requirement altogether.

It’s still not a perfect system. We're still making mistakes. But the candidates we're getting to the final stages are noticeably more qualified.

Curious what others are doing: Are you changing how applications come in, tightening your assessments, using specific tools? Would genuinely like to know what's actually working at your end.

reddit.com
u/createvalue-dontspam — 9 days ago

What if every business had an AI COO running operations 24/7?

Most businesses today run on fragmented systems.

One tool for CRM.

Another for support.

Another for calling.

Another for follow-ups.

And somehow, teams are expected to hold everything together manually.

We kept asking ourselves:

What if one AI system could operate the business for you?

So we built Frontdesk AI.

An AI COO that can:

  • ⁠call, text & email customers 24/7
  • ⁠generate AI voice agents from your website
  • ⁠manage CRM and ticketing workflows
  • and automate customer operations end-to-end

Instead of stitching together dozens of SaaS tools, businesses get one operational AI layer that handles communication and workflows continuously.

The goal isn’t just automation.

It’s helping smaller teams operate with the efficiency of much larger companies.

We launched today and would genuinely love feedback:

What business workflow would you trust AI to fully handle first?

Please show your support on PH → https://www.producthunt.com/posts/frontdesk-ai-2

u/createvalue-dontspam — 9 days ago

Launching today on Product Hunt - ngram, an AI video agent for product and marketing teams

Hey r/GrowthHacking,

We're launching ngram on Product Hunt today and the mods kindly offered to pin this so the community knows what we're up to.

Quick context on what we built. Most product and marketing teams sit on a backlog of things they should make videos for. Launches, feature updates, sales demos, onboarding walkthroughs, support tutorials, social cutdowns. The bottleneck is rarely ideas. It's production. Editing is slow, agencies are expensive, and template tools still leave you doing the hardest parts.

ngram is built for that. You bring what you already have, like release notes, a rough screen recording, screenshots, a doc, or a URL, and ngram plans the message, writes the script, builds the storyboard, and produces a polished, on-brand video. You can edit through chat, regenerate scenes, create variants for different audiences and channels, and translate into 100+ languages.

For growth teams specifically, the unlock is producing the right video per channel and audience without the production overhead. A LinkedIn cut, a 9:16 social version, an ad variant, an onboarding walkthrough, a support tutorial, all from the same source material.

We've set up a 25% off code for the PH community, PH25, valid on Plus and Pro plans until May 31st.

PH page: https://www.producthunt.com/products/ngram?launch=ngram

Product: ngram.com

Happy to answer anything in the comments.

u/createvalue-dontspam — 9 days ago

What if software could redesign itself as your needs change?

Most software today is static.

You buy a tool.

Adapt your workflow around it.

Wait months for feature requests.

And eventually stack more SaaS tools on top.

We kept asking ourselves:

What if software could evolve with the user instead?

So we built CraftBot with Living UI.

It’s a proactive AI agent that can:

  • ⁠build apps and dashboards from scratch
  • ⁠import existing GitHub projects
  • ⁠modify interfaces through conversation
  • ⁠and directly operate the UI it creates

The interesting part is that the UI is “living.”

It’s not a finished dashboard.

The agent stays context-aware of the interface and continuously updates it as your workflow changes.

Need:

  • ⁠a custom CRM?
  • ⁠an AI-powered Kanban board?
  • ⁠a dashboard connected to multiple tools?

CraftBot can generate it, operate it, and evolve it over time.

We launched today and would genuinely love feedback:

What workflows do you wish software adapted to automatically?

Please support on PH →

https://www.producthunt.com/posts/craftbot-with-living-ui

u/createvalue-dontspam — 9 days ago

5 things we changed when we stopped treating the resume as the whole story

We had a rough patch last year where three hires in a row didn't work out the way we expected. They were great candidates, but not for us.

When we looked back at the process, we realized we'd been filtering based on how someone described themselves rather than what they could actually do.

A few things we changed that made a difference:

  1. Stopped letting the ATS do the thinking for us. We hadn't reviewed our keyword logic in over a year. Once we did, we realized how many people we'd been quietly rejecting before anyone on the team had a real look at them.
  2. Rewrote job descriptions from scratch. "5+ years required" for a role that barely existed 3 years ago. Every line we cut from the wishlist made the applicant pool a little more honest.
  3. Shortened the interview funnel. We were running four rounds for roles that didn't need it. Good candidates were dropping off. That was the hardest part: starting again.
  4. Actually tested for the job. This was the one that changed things the most. Replacing the resume screen with a short skill assessment meant we stopped letting formatting and school names do the work.
  5. Built a feedback loop. We started tracking why hires weren't working out. Obvious in hindsight, but we genuinely hadn't been doing it.

I’m not saying we've figured it all out. But at least now the process reflects what we're actually trying to find out. What would you change about yours?

reddit.com
u/createvalue-dontspam — 10 days ago

What if subscriptions, credits, and usage billing worked together natively?

Most SaaS teams think adding payments is the hard part.

It’s not.

The real complexity starts after that:

  • ⁠subscription states
  • ⁠usage tracking
  • ⁠credits
  • ⁠feature access
  • ⁠tax compliance
  • ⁠pricing migrations
  • ⁠failed payment recovery
  • ⁠global currencies

Over time, billing logic slowly spreads across your entire codebase.

Changing pricing plans, adding limits, or experimenting with monetization suddenly becomes an engineering project.

We kept seeing this problem repeatedly.

So we built Kelviq.

Kelviq is a monetization platform for SaaS, AI, and digital products that handles:

  • ⁠usage-based billing
  • ⁠global tax & compliance
  • ⁠credits & feature access
  • ⁠payments & subscriptions
  • ⁠digital delivery & license keys
  • ⁠pricing updates without redeploys

The goal was simple: Help teams monetize globally without rebuilding billing infrastructure from scratch.

We launched today and would genuinely love feedback.

Where does billing or monetization usually break down for your team?

Please support on PH →

https://www.producthunt.com/posts/kelviq-2

u/createvalue-dontspam — 10 days ago