SocialEcho 2.0
AI social media copilot for teams and agents
620 followers
AI social media copilot for teams and agents
620 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
Launching today
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
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?
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?
@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?
Lessie AI
I appreciate the emphasis on reliable and permissioned access. Social accounts are too important to automate carelessly.
SocialEcho 2.0
@libin_yao Absolutely, we see it the same way. Automation should make social workflows safer and more efficient, not create new risks. That’s why SocialEcho focuses on official API access, team permissions, approval flows, and controllable agent actions. Social accounts are business assets, so automation needs clear guardrails.
how do you handle permission management when multiple team members and clients are involved? is role based access built into every workflow?
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 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?