@Ladson_official Avatar @Ladson_official Ladson

Ladson posts on X about slack, whats the, flow, instead of the most. They currently have [--] followers and [--] posts still getting attention that total [--] engagements in the last [--] hours.

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Social Influence

Social category influence social networks 50% finance 20% stocks 20% technology brands 20%

Social topic influence slack #230, whats the 30%, flow 20%, instead of 20%, compound 10%, $6753t 10%, alerts 10%, signals 10%, ai 10%, momentum 10%

Top accounts mentioned or mentioned by @sthapa123456 @albertosie35492 @wegfawefgawefg @thegingerbill

Top Social Posts

Top posts by engagements in the last [--] hours

"Spot on - context rot from tool sprawl hits teams hard once agents enter the picture. They repeat failures because unused schemas and diluted attention compound fast. Malveon attacks it by making context persistent and work-anchored across discussion planning and execution layers so focus stays sharp without paying token tax on dead weight. What's the worst downstream pain you've seen from this in a real team setup (e.g. repeated agent mistakes budget burn or stalled velocity) https://twitter.com/i/web/status/2020704322305355848 https://twitter.com/i/web/status/2020704322305355848"
X Link 2026-02-09T03:40Z [--] followers, [--] engagements

"That hour lost to Slack Asana Notion Sheets Airtable Zapier is brutal. In growing teams it turns into weeks of pure friction per person zero creation. Malveon fixes it by flowing context automatically across discussion planning and execution layers so you stay in flow instead of tool-hopping. Fewer switches not fewer tools. What's the biggest daily context tax in your current stack right now (e.g. content brief to asset handoff deadline drift or feedback loops) https://twitter.com/i/web/status/2020707049190154359 https://twitter.com/i/web/status/2020707049190154359"
X Link 2026-02-09T03:51Z [--] followers, [--] engagements

"This nails the gap perfectly. Software triage drowns in Sentry alerts git blame rabbit holes Jira tickets and Slack hunts just to find who owns the mess. Mechanical keeps it simple: call Dave. Malviont cuts the software chaos by pulling real signals (exceptions deploys configs) into one Attention view in VS Code so you triage in minutes instead of hours no more tool ping-pong. Which part of that production incident loop wastes the most time on your side right now (alert flood blame chase or context hunting) https://twitter.com/i/web/status/2020709396855373920"
X Link 2026-02-09T04:00Z [--] followers, [--] engagements

"6 tools per project is the default chaos once you hit even 5-10 people collaborating. Manual transfers copy-paste AI outputs multi-place task sync [--] switches/hour. it kills momentum fast. Malveon doesn't replace your stack; it adds automatic context flow across discussion planning and execution so transfers happen behind the scenes and switches drop sharply. How many people are typically touching that one project with you right now and which switch feels most expensive (e.g. design to dev handoff feedback loops or AI insight scattering) https://twitter.com/i/web/status/2020710307996606781"
X Link 2026-02-09T04:04Z [--] followers, [--] engagements

"@SThapa123456 Parallel PRs sound efficient until interactions break context. One change tanks another because decisions/context vanish. How often does that interaction chaos force rewrites or delays for you"
X Link 2026-02-14T12:15Z [--] followers, [--] engagements

"@AlbertoSie35492 30-90 minute triage is the killer. We heard from a team that spent [--] minutes just finding which PR caused the issue because context was split across Slack Jira GitHub and Datadog. What takes longest in your incident triage Finding the cause or getting the right people"
X Link 2026-02-14T13:02Z [--] followers, [--] engagements

"@wegfawefgawefg @TheGingerBill We heard this exact pain from [--] eng leads last week. One team was paying for Slack Jira Linear GitHub Datadog PagerDuty and still manually pinging people for status updates. What's the breaking point for you Cost or context loss"
X Link 2026-02-14T13:06Z [--] followers, [---] engagements

"This is spot on - the real "enterprise memory" killer isn't missing docs or bad search it's that the most critical decisions (why start/stop failed assumptions constraint shifts) stay verbal/async/political and evaporate. Exactly the "decision-loss problem" we're attacking head-on with Malveons Malve layer: calm work-anchored discussions that nudge/save key decisions explicitly before they disappear into heads/Slack threads. No forced templates just persistent memory that flows to tasks/deploys. Have you seen any tools that get close to preserving those fuzzy/async decisions without adding"
X Link 2026-02-04T05:19Z [--] followers, [--] engagements

"This is the nightmare loop I hear from every team over [--] people: paste log into Jira/Confluence error explodes downstream mitigation creates bigger mess than the incident backups silently corrupt. Malveon is built to stop exactly that cascade. Keep logs/context in the execution layer (VS Code native) auto-link to decisions/tasks compute health from real signals instead of pasted artifacts. What was the trigger that turned a simple log paste into full corruption chaos on your side Wrong parser Notification flood Or something else https://twitter.com/i/web/status/2018921318738264392"
X Link 2026-02-04T05:35Z [--] followers, [--] engagements

"This is the exact friction killing agent velocity in real codebases - slow CI loops env var roulette Slack tribal knowledge blocking verification. We're building Malveon to harden the execution layer: Fridy runs deploy safety + env/config checks pre-commit in VS Code (seconds not minutes) auto-links back to decisions/discussions so agents (and devs) aren't guessing or hunting Slack. How often does undocumented env var chaos or missing pre-commit hooks tank your agent runs What's the cost in retries/time https://twitter.com/i/web/status/2018921846436168172"
X Link 2026-02-04T05:37Z [--] followers, [--] engagements

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