SocialEcho is an AI social media copilot for teams managing social campaigns across multiple brands, accounts, and channels. See what’s trending, create content that resonates, optimize posts for every platform, publish from one workspace, manage every conversation, and track what drives engagement. Built on official social APIs, SocialEcho gives AI agents like OpenClaw, Hermes, and custom automations a secure way to manage connected social accounts without brittle scraping or risky workarounds.
Hey Product Hunt — Samuel here, one of the makers behind SocialEcho 👋
Most social tools help you schedule posts. But the real pain we kept hearing from growth teams was bigger: keeping content, engagement, and reporting consistent across many brands, accounts, and platforms.
So we built SocialEcho — an AI social media copilot for teams running sophisticated campaigns across multiple brands, accounts, and channels.
With SocialEcho, teams can:
→ See what’s trending and create on-brand content
→ Adapt one post for every platform
→ Publish, measure, and improve from one workspace
→ Manage comments, messages, and mentions in one inbox
→ Give AI agents secure access to social workflows through official APIs
The part we care about most: SocialEcho is built on official social APIs — no browser bots, no cookie injection, and no risky workarounds.
We’re building this for growth teams, agencies, brand marketers, and AI agent builders who need social operations to be safer, more consistent, and more automated.
🎁 Product Hunt launch offer: get up to $1,888 in bonus credits during launch week.
Question for you:
Which part of social media ops would you trust an AI agent with first — content, publishing, engagement, or analytics?
Roasts and feature requests are welcome. We’ll be here all day.
dapting one piece of content for 4 different platforms is a massive time sink. Quick question on the platform adaptation does it just tweak the length, or does it actually change the tone based on the platform (e.g., professional for LinkedIn vs casual for X)?
The official API angle is the bit I’d lead with. For teams running multiple brands, avoiding browser bots and cookie-based workarounds matters as much as scheduling. Does SocialEcho support per-client approval flows before AI replies go live?
also, to add to my previous longer comment - I personally really don't like that the site asks for notif permissions as soon as I access it. I suspect the vast majority of folks decline this (educate me if I'm misinformed, please! :)) but this plus the banner and hero image touting ~$2k in top-ups throws me off.
Again, congrats on the launch, tech looks cool, just some thoughts for a possible variant. :)
@eexlkuang_se this looks cool & powerful, but - and I mean this with the utmost respect - there is way too much going on with your homepage... -- hey, if it works, it works - but, for me, I'm not sure where to position my eyes, where to go, and I'm liable to just experience overwhelm and dip.
The @chrismessina hunt semi-cosign encourages me to look deeper and maybe use this, but, my strong suggestion to you: consider making a stripped down minimalistic beautiful version of your homepage, and then A/B test that version against this one. I think you'll find that a certain cohort of more sophisticated would-be users will convert at a higher clip.
Nonetheless, huge congratulations on a successful launch, and - again - what appears to be a very powerful solution. My feedback comes from a desire to see you succeed. :)
PS - do you support Farcaster, by chance?
Managing multiple brands from one workspace is the use case that always gets messy fast. Curious how the AI handles brand voice consistency when the accounts have very different tones - does it learn per account or do you configure it manually?
The platform style adaptation feature is something I manually do every single day and genuinely dread. A post that works on LinkedIn reads completely wrong on Instagram, and vice versa. If the AI is doing that translation intelligently not just resizing text this alone would justify a subscription for my team. Looking forward to testing it.
Btw Congrats on the launch!
how do you handle permission management when multiple team members and clients are involved? is role based access built into every workflow?
How granular are the analytics insights can users track performance per content variation? or is it more aggregated at post level?
How does SocialEcho approach the balance between AI-generated content and human editorial control? Specifically can teams set guardrails so the AI only ever drafts and never publishes autonomously, with a required human review step? Knowing where the human stays in the loop is important for brand-sensitive accounts.
Curious about the trend discovery experience in practice. When SocialEcho surfaces a trending topic, does it also suggest specific content angles or hooks that align with each brand's voice or does it just flag the trend and leave the creative interpretation to the team? The former would dramatically accelerate ideation speed.
Congrats! the focus on multi platform publishing from one post is super useful. how do you handle platform specific limitations like character count or media formats?
For large organisations where content has to pass through legal and compliance review before publishing especially in regulated industries like finance or healthcare does SocialEcho support custom approval workflows, hold states, and audit trails? That infrastructure is often the deciding factor in enterprise adoption.
Congrats on the launch! this seems like a strong fit for scaling agencies. do you also support white label setups for client facing dashboards?
What does the integration layer look like beyond the social platforms themselves? Thinking about connections to tools teams already have CRMs like HubSpot or Salesforce for audience context, DAMs for creative assets, or project management tools like Notion and Asana for campaign briefs. How plugged-in is SocialEcho to the broader stack?
This is a strong launch. I like that you’re solving the full social workflow instead of just one small piece.
On the engagement analytics side does SocialEcho connect post performance back to downstream outcomes like link clicks, landing page conversions, or product sign-ups? Or does the tracking stay within the native social layer? The gap between social engagement and business results is where most tools lose the thread.
Congrats on the launch. Quick question on the AI content generation side does SocialEcho require a significant onboarding period to learn brand voice, or does it work reasonably well from day one with a brief prompt or style guide input? Curious what the ramp-up experience looks like for a brand-new account.
how does the system decide when to recommend engagement actions vs content creation? is there a prioritization engine behind it?
how do you ensure consistent tone across different content formats like captions, threads and replies? is it one shared model or multiple specialized ones?
About SocialEcho 2.0 on Product Hunt
“AI social media copilot for teams and agents”
SocialEcho 2.0 launched on Product Hunt on June 1st, 2026 and earned 262 upvotes and 98 comments, earning #2 Product of the Day. SocialEcho is an AI social media copilot for teams managing social campaigns across multiple brands, accounts, and channels. See what’s trending, create content that resonates, optimize posts for every platform, publish from one workspace, manage every conversation, and track what drives engagement. Built on official social APIs, SocialEcho gives AI agents like OpenClaw, Hermes, and custom automations a secure way to manage connected social accounts without brittle scraping or risky workarounds.
SocialEcho 2.0 was featured in Social Media (89k followers), Marketing (464.2k followers) and SaaS (42.3k followers) on Product Hunt. Together, these topics include over 139.5k products, making this a competitive space to launch in.
Who hunted SocialEcho 2.0?
SocialEcho 2.0 was hunted by Chris Messina. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how SocialEcho 2.0 stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Chris Messina
Hey Product Hunt — Samuel here, one of the makers behind SocialEcho 👋
Most social tools help you schedule posts. But the real pain we kept hearing from growth teams was bigger: keeping content, engagement, and reporting consistent across many brands, accounts, and platforms.
So we built SocialEcho — an AI social media copilot for teams running sophisticated campaigns across multiple brands, accounts, and channels.
With SocialEcho, teams can:
→ See what’s trending and create on-brand content
→ Adapt one post for every platform
→ Publish, measure, and improve from one workspace
→ Manage comments, messages, and mentions in one inbox
→ Give AI agents secure access to social workflows through official APIs
The part we care about most: SocialEcho is built on official social APIs — no browser bots, no cookie injection, and no risky workarounds.
We’re building this for growth teams, agencies, brand marketers, and AI agent builders who need social operations to be safer, more consistent, and more automated.
🎁 Product Hunt launch offer: get up to $1,888 in bonus credits during launch week.
Question for you:
Which part of social media ops would you trust an AI agent with first — content, publishing, engagement, or analytics?
Roasts and feature requests are welcome. We’ll be here all day.