Drafts with better tone of voice
Improve the tone of voice of the Drafts feature to better align with the platform and sound like native content. Possible directions for improvement: Match my voice. Learn tone from my existing posts/history instead of defaulting to a generic register. Calibrate per platform. A Reddit comment and a LinkedIn post shouldn't read the same way. Learn from existing social content. Analyze existing Reddit/LinkedIn content for tone of voice and overall structure.
Kalo from Sensorhub about 1 month ago
Drafts with better tone of voice
Improve the tone of voice of the Drafts feature to better align with the platform and sound like native content. Possible directions for improvement: Match my voice. Learn tone from my existing posts/history instead of defaulting to a generic register. Calibrate per platform. A Reddit comment and a LinkedIn post shouldn't read the same way. Learn from existing social content. Analyze existing Reddit/LinkedIn content for tone of voice and overall structure.
Kalo from Sensorhub about 1 month ago
Signal Agents
Today, you tell SensorHub what to watch with keywords (or just let Sensorhub find the most relevant signals), then sift the shared feed yourself. Signal Agents will make it easier to find the right signals based on your preferences. You describe what you're looking for in plain language, and an agent continuously hunts for matching signals on your behalf. Same underlying idea as keyword-based signals, but far more powerful and flexible. What’s Included: Natural-language Signal Agents – give an agent custom instructions with a prompt ("find people frustrated with X migrating off competitor Y", "QA discussions about flaky tests in tool Z", "buyers evaluating AEO tooling"). The agent keeps searching for matching signals; no keyword tuning required. The prompt can be anything: a topic, a persona, a pain point, a buying intent, a competitor angle. Per-agent relevance scoring - each agent scores how relevant a signal is to its own instructions, not just to your core product. A signal that's only loosely related to the product overall can still rank highly for a specific agent. Specialists see what matters through their lens. Filter integration – signals surfaced by agents show up in a dedicated Found by agent filter section, so agent-discovered signals stay distinct and easy to review alongside your existing filters. Template gallery - a curated library of ready-made agent prompts by use case (e.g., AEO Signal Agents, Sales Signal Agents, and more) so you can spin up a high-quality agent in one click and customize from there. Who Can Use This? Anyone who wants hyper-personalized signals. Route different agents to different people or goals. E.g., a QA lead, a software architect, a sales rep, a founder tracking competitors, and let each one engage where they add the most value, without manually triaging one shared feed.
Kalo from Sensorhub about 1 month ago
Pro feature
Signal Agents
Today, you tell SensorHub what to watch with keywords (or just let Sensorhub find the most relevant signals), then sift the shared feed yourself. Signal Agents will make it easier to find the right signals based on your preferences. You describe what you're looking for in plain language, and an agent continuously hunts for matching signals on your behalf. Same underlying idea as keyword-based signals, but far more powerful and flexible. What’s Included: Natural-language Signal Agents – give an agent custom instructions with a prompt ("find people frustrated with X migrating off competitor Y", "QA discussions about flaky tests in tool Z", "buyers evaluating AEO tooling"). The agent keeps searching for matching signals; no keyword tuning required. The prompt can be anything: a topic, a persona, a pain point, a buying intent, a competitor angle. Per-agent relevance scoring - each agent scores how relevant a signal is to its own instructions, not just to your core product. A signal that's only loosely related to the product overall can still rank highly for a specific agent. Specialists see what matters through their lens. Filter integration – signals surfaced by agents show up in a dedicated Found by agent filter section, so agent-discovered signals stay distinct and easy to review alongside your existing filters. Template gallery - a curated library of ready-made agent prompts by use case (e.g., AEO Signal Agents, Sales Signal Agents, and more) so you can spin up a high-quality agent in one click and customize from there. Who Can Use This? Anyone who wants hyper-personalized signals. Route different agents to different people or goals. E.g., a QA lead, a software architect, a sales rep, a founder tracking competitors, and let each one engage where they add the most value, without manually triaging one shared feed.
Kalo from Sensorhub about 1 month ago
Pro feature
In Progress
Brand Monitoring Suite
Short description: Track every mention of your brand, products, and competitors across the web and social (Reddit, X, and LinkedIn) in one unified inbox, with automatic sentiment and topic tagging. What it does: Unified Mentions inbox – web + Reddit + X + LinkedIn mentions in a single two-pane, searchable feed (deep-linkable filters). Brand, product & competitor tracking – add keywords with aliases (e.g. "Company"), and we'll watch all of them; competitor mentions are matched and highlighted automatically. Automatic sentiment – every mention is scored per subject (positive/neutral / n egative). Smart tagging & categorization – mentions are auto-categorized by source type (UGC, news, etc.), page type, and a content topic vocabulary. Compare & Pulse views – Share-of-voice vs. competitors, trends over time, and a Pulse dashboard, with publicly shareable reports. Continuous scanning – automatically refreshes every few hours so the feed stays current. Screenshots are a very early sneak peek of the prototype:
Kalo from Sensorhub about 1 month ago
High Priority
In Progress
Brand Monitoring Suite
Short description: Track every mention of your brand, products, and competitors across the web and social (Reddit, X, and LinkedIn) in one unified inbox, with automatic sentiment and topic tagging. What it does: Unified Mentions inbox – web + Reddit + X + LinkedIn mentions in a single two-pane, searchable feed (deep-linkable filters). Brand, product & competitor tracking – add keywords with aliases (e.g. "Company"), and we'll watch all of them; competitor mentions are matched and highlighted automatically. Automatic sentiment – every mention is scored per subject (positive/neutral / n egative). Smart tagging & categorization – mentions are auto-categorized by source type (UGC, news, etc.), page type, and a content topic vocabulary. Compare & Pulse views – Share-of-voice vs. competitors, trends over time, and a Pulse dashboard, with publicly shareable reports. Continuous scanning – automatically refreshes every few hours so the feed stays current. Screenshots are a very early sneak peek of the prototype:
Kalo from Sensorhub about 1 month ago
High Priority
Kanban Board for Signals
New view for signals - a Kanban board with To Do / In Progress / Done. With the ability to drag and drop between boards.
Kalo from Sensorhub 2 months ago
Kanban Board for Signals
New view for signals - a Kanban board with To Do / In Progress / Done. With the ability to drag and drop between boards.
Kalo from Sensorhub 2 months ago
Project Localization Details: Language and Country Options
Add additional information about your project's language and location to find more relevant local signals.
Kalo from Sensorhub 3 months ago
Project Localization Details: Language and Country Options
Add additional information about your project's language and location to find more relevant local signals.
Kalo from Sensorhub 3 months ago
Planned
Slack Integration
Your signals, where your team already works Connect Slack in a click and get Sensorhub signals delivered straight to the channels your team lives in. No extra dashboard to check. Maybe your team doesn't want one more tab to monitor. Sensorhub's Slack integration brings what matters to you – brand mentions, AI citations, and signals – into the channels you already work in. Connect once, choose what you want delivered and how often, and let the updates come to you. What's included One-click connect – Authorize Slack in seconds and pick the channel(s) signals should land in. Daily or weekly digests – Scheduled summaries delivered on the cadence you choose. Per-category control – Decide which categories of updates get sent, so each channel only gets what's relevant. Team-friendly delivery – Updates post to shared channels, so the whole team sees them without logging in. Real-time alerts – Immediate, as-it-happens notifications are on the way.
Kalo from Sensorhub about 1 month ago
New Feature
Planned
Slack Integration
Your signals, where your team already works Connect Slack in a click and get Sensorhub signals delivered straight to the channels your team lives in. No extra dashboard to check. Maybe your team doesn't want one more tab to monitor. Sensorhub's Slack integration brings what matters to you – brand mentions, AI citations, and signals – into the channels you already work in. Connect once, choose what you want delivered and how often, and let the updates come to you. What's included One-click connect – Authorize Slack in seconds and pick the channel(s) signals should land in. Daily or weekly digests – Scheduled summaries delivered on the cadence you choose. Per-category control – Decide which categories of updates get sent, so each channel only gets what's relevant. Team-friendly delivery – Updates post to shared channels, so the whole team sees them without logging in. Real-time alerts – Immediate, as-it-happens notifications are on the way.
Kalo from Sensorhub about 1 month ago
New Feature
In Progress
AEO Suite (AI Search Visibility)
Know when AI recommends you (and when it doesn't) Track the prompts your buyers actually ask and see exactly when ChatGPT and Google's AI Overviews cite you, a competitor, or a third party. Understand where you're winning and where you're losing ground in AI search. Buyers increasingly ask AI assistants instead of searching in Google. These answers cite a handful of sources you can't see. The AEO suite brings that black box into Sensorhub. Add the prompts that matter to your business, and we'll show you who AI cites for each one, how often it's you vs. a competitor, and which sources are shaping those answers. You get a clear picture of your AI share of voice and the exact sources to prioritize for outreach. What's included Prompt tracking – Add the buyer questions and prompts you care about; we monitor the AI answers they trigger. Citation visibility – See when ChatGPT and Google AI Overviews cite you, a competitor, or a third party. Per prompt, with the source URLs. Competitive share of voice - Understand how often you appear vs. competitors across your tracked prompts, and where you're losing ground. Source insight + outreach prioritization – Identify the source domains AI pulls from so you can prioritize where to focus your outreach. Triage in the Inbox – AI Citations flow into the unified Inbox alongside your other signals, with Star/Status/Archive and full-text search so nothing slips through. All signals are grouped and filterable: UGC, reviews, listicles, etc. Actionable outreach opportunities – The AEO suite still has the core Sensorhub DNA. Not just prompt tracking, you get hundreds of live daily signals you can review and act on instantly. Review sites, listicles, communities, and more, with specific action guides for each.
Kalo from Sensorhub about 1 month ago
New Feature
In Progress
AEO Suite (AI Search Visibility)
Know when AI recommends you (and when it doesn't) Track the prompts your buyers actually ask and see exactly when ChatGPT and Google's AI Overviews cite you, a competitor, or a third party. Understand where you're winning and where you're losing ground in AI search. Buyers increasingly ask AI assistants instead of searching in Google. These answers cite a handful of sources you can't see. The AEO suite brings that black box into Sensorhub. Add the prompts that matter to your business, and we'll show you who AI cites for each one, how often it's you vs. a competitor, and which sources are shaping those answers. You get a clear picture of your AI share of voice and the exact sources to prioritize for outreach. What's included Prompt tracking – Add the buyer questions and prompts you care about; we monitor the AI answers they trigger. Citation visibility – See when ChatGPT and Google AI Overviews cite you, a competitor, or a third party. Per prompt, with the source URLs. Competitive share of voice - Understand how often you appear vs. competitors across your tracked prompts, and where you're losing ground. Source insight + outreach prioritization – Identify the source domains AI pulls from so you can prioritize where to focus your outreach. Triage in the Inbox – AI Citations flow into the unified Inbox alongside your other signals, with Star/Status/Archive and full-text search so nothing slips through. All signals are grouped and filterable: UGC, reviews, listicles, etc. Actionable outreach opportunities – The AEO suite still has the core Sensorhub DNA. Not just prompt tracking, you get hundreds of live daily signals you can review and act on instantly. Review sites, listicles, communities, and more, with specific action guides for each.
Kalo from Sensorhub about 1 month ago
New Feature
Completed
New Signal Score Category Names
The signal inbox categories have been renamed from "Hot Leads," "High Intent," "Trust Builders," and "Inspiration" to score ranges: 85%+ 75-85% 65-75% 50-65% The old names implied a sales funnel lens that didn't always fit. A signal scoring 85%+ isn't always a sales lead - it could be a Reddit thread worth being cited in for AEO, for example. The score reflects both relevance and buying intent, but a high score doesn't mean the signal is only useful for sales. "Hot Leads" also implied recency, but recency isn't part of the scoring formula. For that, there's the time range filter and the most recent sorting option. The percentage ranges map directly to how Signal Score works: each signal is scored from 50% to 100% using a proprietary formula that factors in relevance and buying intent. The category names now reflect that scale as-is, without adding a layer of interpretation on top.
Kalo from Sensorhub 3 months ago
Improvement
Completed
New Signal Score Category Names
The signal inbox categories have been renamed from "Hot Leads," "High Intent," "Trust Builders," and "Inspiration" to score ranges: 85%+ 75-85% 65-75% 50-65% The old names implied a sales funnel lens that didn't always fit. A signal scoring 85%+ isn't always a sales lead - it could be a Reddit thread worth being cited in for AEO, for example. The score reflects both relevance and buying intent, but a high score doesn't mean the signal is only useful for sales. "Hot Leads" also implied recency, but recency isn't part of the scoring formula. For that, there's the time range filter and the most recent sorting option. The percentage ranges map directly to how Signal Score works: each signal is scored from 50% to 100% using a proprietary formula that factors in relevance and buying intent. The category names now reflect that scale as-is, without adding a layer of interpretation on top.
Kalo from Sensorhub 3 months ago
Improvement
Completed
Webhooks
You can now send signals from Sensorhub to other platforms like Clay, Make.com, Zapier, or any other tool that supports receiving webhooks. Webhooks are supported on Pro and Enterprise plans: Up to 3 webhooks on Pro and up to 10 webhooks on Enterprise. Webhooks setup Go to your project’s Settings page, and create your first webhook by clicking on “Add Webhook.” Paste the URL from the external app and add a custom name for the webhook to identify it in Sensorhub. Once you create the Webhook, make sure to test it through Sensorhub by clickin on “Test”: This is the data we send from Sensorhub: { "event": "signal.created", "timestamp": "2026-04-15T09:13:53.310Z", "webhook_id": "cmnztujs40001s57wffv4rx2n", "signal_id": "test_signal_001", "product_id": "test_product_001", "product_name": "Sensorhub", "product_url": "https://example.com", "post_title": "[TEST] Looking for a tool to automate outreach", "post_body": "This is a test webhook payload. We are looking for a solution to help our team automate cold outreach and follow-ups.", "post_url": "https://reddit.com/r/SaaS/comments/test123", "post_author": "u/test_user", "post_source": "REDDIT", "post_subreddit": "SaaS", "post_created_at": "2026-04-15T09:13:53.310Z", "score": 0.92, "category": "hot_leads", "category_label": "Hot Leads", "reasoning": "TEST: User is actively seeking a solution matching your product." } Make s
Kalo from Sensorhub 3 months ago
New Feature
Completed
Webhooks
You can now send signals from Sensorhub to other platforms like Clay, Make.com, Zapier, or any other tool that supports receiving webhooks. Webhooks are supported on Pro and Enterprise plans: Up to 3 webhooks on Pro and up to 10 webhooks on Enterprise. Webhooks setup Go to your project’s Settings page, and create your first webhook by clicking on “Add Webhook.” Paste the URL from the external app and add a custom name for the webhook to identify it in Sensorhub. Once you create the Webhook, make sure to test it through Sensorhub by clickin on “Test”: This is the data we send from Sensorhub: { "event": "signal.created", "timestamp": "2026-04-15T09:13:53.310Z", "webhook_id": "cmnztujs40001s57wffv4rx2n", "signal_id": "test_signal_001", "product_id": "test_product_001", "product_name": "Sensorhub", "product_url": "https://example.com", "post_title": "[TEST] Looking for a tool to automate outreach", "post_body": "This is a test webhook payload. We are looking for a solution to help our team automate cold outreach and follow-ups.", "post_url": "https://reddit.com/r/SaaS/comments/test123", "post_author": "u/test_user", "post_source": "REDDIT", "post_subreddit": "SaaS", "post_created_at": "2026-04-15T09:13:53.310Z", "score": 0.92, "category": "hot_leads", "category_label": "Hot Leads", "reasoning": "TEST: User is actively seeking a solution matching your product." } Make s
Kalo from Sensorhub 3 months ago
New Feature
SEO Data for Signals
Major SEO feature. Track and show SEO data for signals, such as organic volume, keywords the signal is ranking for, and keyword difficulty.
Kalo from Sensorhub 3 months ago
High Priority
SEO Data for Signals
Major SEO feature. Track and show SEO data for signals, such as organic volume, keywords the signal is ranking for, and keyword difficulty.
Kalo from Sensorhub 3 months ago
High Priority