SocialEcho 2.0
AI social media copilot for teams and agents
929 followers
AI social media copilot for teams and agents
929 followers
SocialEcho is an AI social media copilot for teams running sophisticated campaigns across multiple brands.
Discover what’s trending, generate original on-brand content, adapt every post to each platform’s style, publish from one workspace, manage audience interactions and track what actually drives engagement.
Built on official APIs, SocialEcho also gives AI agents like OpenClaw, Hermes a secure, reliable way to manage connected social accounts without brittle scraping or risky workarounds.
This is the 2nd launch from SocialEcho 2.0. View more
SocialEcho 2.0
Launched this week
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.
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Launch Team / Built With
SocialEcho 2.0
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.
@eexlkuang_se congrats on the launch team. Whats the usp vs buffer, publer etc?
SocialEcho 2.0
@zolani_matebese Thanks! Compared with Buffer or Publer, SocialEcho is less about basic scheduling and more about workflow automation. Our main USP is the open API layer, which can connect with agents and tools like OpenClaw or n8n for custom workflows and deeper integrations. We also focus on AI auto-replies for comments and DMs, post-level monitoring, and more affordable pricing for teams managing many accounts.
SocialEcho 2.0
@bhawna_rajput Totally agree. Analytics is often the safest place to start because teams can observe, learn, and build trust before giving AI more operational control. That’s why we see SocialEcho as a gradual workflow layer, not an “AI does everything on day one” tool.
And yes, official APIs are a huge part of making that trust possible. Once teams move from insights to publishing, secure and reliable account access really matters. Thanks so much for the thoughtful support!
@eexlkuang_se when an AI agent adapts one post across platforms, how do you handle brand voice guardrails at the account level? Do you let users define voice per brand/account with shared templates or is that next on the roadmap?
SocialEcho 2.0
@swati_paliwal Yes, users can define voice at the brand or account level. SocialEcho uses brand profiles, tone guidelines, and custom prompts as guardrails, so when one post is adapted across platforms, it still follows the right brand voice.
Shared templates can help keep the workflow consistent, but each brand or account can still have its own voice rules. So it’s not one generic tone applied everywhere.
@eexlkuang_se For the Reddit publishing, are you using the Reddit API or how does it work?
The second thing is it also mentioned that we can have a unibox for Reddit, you mean to say that we would have different Reddit accounts having their inboxes shared into one synchronized intercom-like inbox. Is that correct?
SocialEcho 2.0
@rohanrecommends Yep, exactly. Reddit publishing works through Reddit’s official API, so we’re not doing browser bots or cookie-based workarounds.
And yes, that’s basically the idea for the unified inbox. You can connect multiple Reddit accounts and bring supported interactions into one shared inbox-style workspace, so the team doesn’t have to keep switching accounts to handle comments or messages. Each account is still authorized separately, but the work happens in one place.
Raycast
Is this you? Copying the same content to post across socials like X, Threads, and LinkedIn manually across three tabs?
Coz yeah, that's me. Still! 🤓
Which is why@eexlkuang_se built @SocialEcho 2.0: so your AI agent can do that, plus all the boring plumbing that maintaining a social presence requires these days: publish, monitor, analyze, and route social workflows across Facebook, Instagram, X, TikTok, YouTube, LinkedIn, Reddit, and more.
SocialEcho actually adapts your content to fit the audience expectations of each platform, so you can start with the message, and SocialEcho will tune the posted format to not stand out like a slop-stained sore thumb.
SocialEcho didn’t start as just “another social scheduler.” Instead, it grew out of tens of thousands of cross-border sellers and agencies managing many brands, accounts, and languages at once. So platform-specific adaptation is at its core.
I appreciate they’re using official social APIs rather than sketchy browser-bot/cookie hacks (which are increasingly brittle thanks to the kind of Cloudflare defenses Product Hunt and others are adopting). If you’re working with agents that need to handle social media, this is critical.
SocialEcho 2.0
@chrismessina Chris, this means a lot. Thank you! You captured exactly why we built SocialEcho the way we did. Social media work today is no longer just “schedule once and post everywhere.” Teams need platform-specific adaptation, multi-account workflows, monitoring, analytics, and reliable API-based execution.
And yes, official APIs are a big part of our approach. We want SocialEcho to be something teams and agents can actually build workflows on top of, not a fragile shortcut that breaks the moment platforms change their rules. Really appreciate the thoughtful support!
@chrismessina @eexlkuang_se The cross-platform adaptation is the part I'm most curious about. When you adapt one post for LinkedIn vs TikTok vs Reddit, is the AI rewriting from scratch bassed on platform norms, or is it more like applying a set of rules/templates per platform? And does it learn from past performance data to improve those adaptations over time?
SocialEcho 2.0
@chrismessina @haotian_wang5 Love this question. It gets right to how we think about adaptation. It’s a mix of both. SocialEcho starts from the core message, then adapts it based on platform norms like format, tone, length, structure, and CTA style. Users can also add brand voice, custom prompts, and platform-specific rules, so it’s not just AI rewriting blindly.
On the data side, we track content performance across different platforms, and our open API can connect with agents like OpenClaw to generate deeper insights. Using performance data to directly improve future content generation is a great direction, and it’s something we’re planning to bring into the product roadmap.
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?
SocialEcho 2.0
@daniel_juan2 That’s exactly how we think about it too. SocialEcho is not meant to be a closed social tool. Beyond social platform connections, we provide open API capabilities so teams can plug SocialEcho into their broader stack, including CRMs, internal dashboards, agent workflows, or automation tools like n8n and OpenClaw.
For tools like HubSpot, Salesforce, DAMs, Notion, or Asana, the integration layer can be built through API-based workflows depending on the team’s setup. The goal is to let social publishing, engagement, monitoring, and analytics connect with the systems teams already use, instead of forcing everything to live inside SocialEcho.
This is interesting because the hard part with social usually isn’t just scheduling a post. It’s the messy middle between ideas, approvals, publishing, replies, reporting, and everybody trying to stay on the same page.
I’m curious what workflow pain actually made you build SocialEcho. Was there a tool your team kept using that felt close but not quite right, like Hootsuite, Buffer, Later, Publer, Typefully, spreadsheets, native analytics, or some ugly mix of everything?
For teams already using those tools, would you say SocialEcho is ready to replace that stack, or is it more of a smarter layer that helps organize the chaos first?
SocialEcho 2.0
@caleb_criste You described the messy middle perfectly. That’s exactly what pushed us to build SocialEcho. We kept seeing growth teams and agencies managing many brands, accounts, and platforms with a mix of schedulers, spreadsheets, native inboxes, native analytics, and manual handoffs. Each tool helped with one piece, but the full workflow still felt disconnected.
So SocialEcho was not built as just another scheduler. We’re building it as an AI social media copilot for teams running more complex social operations, from trend discovery and on-brand content creation to platform adaptation, publishing, engagement, monitoring, analytics, and official API-based agent workflows.
For teams already using tools like Buffer, Publer, Typefully, or spreadsheets, SocialEcho can replace parts of that stack. But more importantly, it acts as a smarter social operations layer first, helping teams organize the chaos before they decide what to replace.
@eexlkuang_se That makes sense, and I appreciate you explaining it that way.
I can see how this is trying to solve more of the subjective chaos instead of just becoming another scheduler in the pile. Honestly, I think this is one of those tools I’ll understand better once I actually get in there and play with it a little bit.
The AI workflow and team operations side sounds interesting. I’ll have to try it out and see how it feels in practice.
Thanks for the reply!
Curious about the brand-voice layer specifically. The failure mode I keep watching in multi-account tools is that the generated post passes the platform-style check (LinkedIn cadence, X length) but the brand voice drifts inside two weeks because nobody is regression-testing the tone against last quarter's published posts. Do you keep a brand-voice eval set per workspace, or is it captured once at onboarding and frozen?
SocialEcho 2.0
@fabriziowexare This is a very sharp point. Today, SocialEcho’s brand voice layer is mainly driven by brand profiles, tone guidelines, custom prompts, and reference content that teams provide. It is not frozen at onboarding. Teams can update the brand profile and refine the guidelines over time as the brand evolves.
We don’t currently run a formal “brand voice eval set” per workspace in the way you described, but we agree that this is the right direction for keeping tone from drifting over time. Our current focus is giving teams strong brand voice controls and human review, and longer term we want to make brand voice consistency more measurable against past content.
@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?
SocialEcho 2.0
@chrismessina @grey_seymour Really appreciate you saying this, and honestly, fair point. SocialEcho does a lot, but the homepage should help people get it faster, not make them feel like they need a map. A cleaner, more focused version is definitely worth testing, especially for people who just want to understand the core workflow quickly.
For Farcaster, we don’t support it yet, but it’s on our radar as we keep expanding platform coverage.
And thank you for the kind words on the launch. Feedback like this is super helpful!
This is interesting. What agent workflows are live today? Can they handle publishing, analytics, inbox triage, or all three?
SocialEcho 2.0
@ea_z The short answer is all three, but at different depths. SocialEcho already supports AI-assisted publishing, performance analytics, and comment/DM management. We’re starting with the workflows teams repeat every day, then making them more agent-friendly step by step.