Overhear
Overhear is a keyword-based social listening tool that searches X, Reddit, LinkedIn, YouTube, Hacker News, and the web on a configurable schedule, labeling each mention by type (buying intent, complaint, bug report, question, praise). It charges per scan using prepaid credits rather than subscriptions, with transparent cost receipts for each monitoring run. Agencies can resell Overhear to clients who need competitive intelligence, brand reputation monitoring, or lead discovery without monthly commitments. The tool is designed for solo founders, indie SaaS makers, small marketing agencies, and competitive intelligence teams who want scheduled listening across multiple platforms with variable consumption costs.
Overhear is a keyword-based social listening tool. InnovaAI rates it 5.1 of 10 for agency resale.
Agency Audit
Overhear monitors brand, competitor, and product mentions across X, Reddit, LinkedIn, YouTube, Hacker News, and the web on a configurable schedule, labeling each mention by type (buying intent, complaint, bug report, question, praise). It charges per scan using prepaid credits rather than subscriptions, making it cost-transparent for agencies reselling to clients. Best suited for small marketing agencies, brand managers, and competitive intelligence teams who need scheduled listening without monthly commitments. The credit model works well for variable-volume clients, but requires agencies to manage billing infrastructure and educate clients on credit consumption patterns.
5.1/10
Depends on volume
2d 1 to 2 days
- Your clients need competitive intelligence on Reddit or Hacker News specifically, where Overhear scans hourly and daily respectively.
- You want to resell a listening tool without monthly subscription overhead, since Overhear's credit model lets you charge clients only for scans they use.
- Your clients are SaaS makers or indie founders who need to monitor buying-intent posts and draft replies, a core use case Overhear supports.
- You need white-label client portals with your agency branding, since Overhear does not offer a verified white-label program.
- Your clients require a fixed monthly cost for budgeting, because Overhear's prepaid credit model means costs vary with scan frequency and keyword count.
- You need integrations with HubSpot, Salesforce, or other CRM platforms, as Overhear does not publish native integrations to those systems.
Profit Path
$10.00–$50.00 / per credit pack (6,000 credits)
$1K–$3K/project
Usage-Based
Planning benchmark at United States price levels. Not a measured market survey.
Platform Features
Core capabilities of Overhear
Scheduled cross-platform scanning
Monitors X, Reddit, LinkedIn, YouTube, Hacker News, and the open web at configurable intervals (X and Reddit hourly, LinkedIn every six hours, YouTube and web daily). Agencies can set different cadences per keyword and run manual scans on demand, so clients only pay for the monitoring frequency they need.
Mention labeling by intent type
Automatically categorizes each mention as buying intent, complaint, bug report, question, praise, or other. Agencies can surface high-priority mentions (buying intent, complaints) to clients without manual triage, reducing time spent sorting noise.
Competitor and brand tracking
Finds mentions of competitor products and surfaces posts where users ask for alternatives or report complaints. Agencies can use this to identify churn risk signals and competitive positioning gaps for client strategy.
Per-scan cost receipts
Each scan generates an itemized receipt showing which sources were queried, how many mentions were found, and the exact credit cost. Agencies can show clients transparent billing and justify monitoring spend.
AI-assisted reply drafting
Generates question answers across four assistants weekly, helping agencies draft responses to customer inquiries found in mentions. Reduces manual response time for client support and community management workflows.
Prepaid credit model
No subscription lock-in; agencies purchase credits in packs (6,000 for $10 USD, 16,000 for $25 USD, 35,000 for $50 USD) and consume them per scan. Unused credits are refundable within 14 days, so agencies can test with clients risk-free.
What Makes Overhear Different
Unique advantages vs similar tools in this niche
Prepaid credit model with per-scan receipts
vs Subscription listening tools like Stalkr with keyword allowancesCredits never expire and each scan shows its exact credit cost and duration.
AI labeling of mention intent
vs Raw keyword alert feedsEvery mention gets one label so buying-intent and complaint posts surface first.
Self-hostable Rust app
vs Closed SaaS-only listening platformsRun it yourself with no credits, showing real cost of every search and model call.
Latest Updates
Recent releases and improvements for Overhear
Overhear learns what's not about you
Improvement2026-10-21Not related and Related now teach the classifier for future scans. Switch keywords between Brand and Competitor. Filter the feed by keyword.
Pick how often each source is searched
Improvement2026-10-20Each keyword now has its own per-source scan frequency setting (hourly, every 6 hours, daily or off). Keywords moved to their own sidebar tab. Prices now exclude tax; VAT ID support for EU and UK businesses. New blog launched.
Investment ROI Calculator
Value equation analysis for Overhear, based on the Hormozi framework
What is the Hormozi framework? A four-factor score: (what the service delivers × how reliably it delivers) divided by (how long it takes × how much effort it requires). A higher Value Multiplier means a better return on the time and money invested: faster, easier, and more proven results.
Overhear scores 2.1× on the value equation, weighing client outcome and likelihood against the time and effort to deliver.
Why This Succeeds
Higher is betterClient Results Potential
What your clients actually get
Incremental gains: position as part of a larger solution stack
Hear what people say about your product on X, Reddit, LinkedIn, YouTube, Hacker News and the web.
Reliability Score
How consistently this delivers results
Early-stage track record: validate with a small pilot first
How reliably this solution delivers promised results. Based on case studies, reviews, and track record.
Implementation Challenges
Lower is betterTime to First Revenue
How long until you can start earning
Standard ramp-up: accelerate to 1 day with Academy SOPs
Expect a few days from signup to first client delivery
Setup Effort
What it takes to get running
Near-turnkey: minimal setup before you can sell
Moderate effort: standard configuration with some customization needed
Viable opportunity. Overhear returns 2.1× on investment. Focus on the highest-margin service packages to maximize return.
Pricing
Overhear platform cost to your agency
Add-ons
Optional extras priced on top of any main plan
No verified white-label program for Overhear: client-facing delivery runs under the platform's native branding.
Market Intelligence
How agencies monetize Overhear: real offer economics and market positioning
- Solo founders and indie SaaS makers
- Small marketing agencies
- Brand and reputation managers
- Agencies needing deep multi-client dashboards
- Enterprises requiring SSO and compliance tooling
Project-Based
ai-toolsAgency charges per-project fee for implementation. Ongoing optimization as optional retainer.
Custom / Enterprise Pricing
Overhear does not publish fixed tier pricing. The offer economics below use agency benchmarks: margins are indicative, and your actual margin depends on the platform rate you negotiate with the vendor.
Request pricing from OverhearOffer Economics: What You Charge vs. What It Costs
Margin includes platform cost + agency labor at $75/hr. Tool cost estimated from vendor category benchmarks.
Local SMB owners (restaurants, clinics, retail shops) wanting to track brand mentions and reviews across X, Reddit, and the web (Volume-dependent, confirm usage estimate with client)
Funded startups and regional brands (10–50 employees) needing structured social listening across X, Reddit, LinkedIn, and Hacker News to inform content and GTM strategy (Volume-dependent, confirm usage estimate with client)
Mid-market companies (50–500 employees) requiring ongoing competitive and brand intelligence across all Overhear-supported channels to feed marketing, PR, and product teams (Volume-dependent, confirm usage estimate with client)
Enterprise brands (500+ employees) needing a fully operationalized social listening program with multi-team access, competitive war-room reporting, and executive-level insight delivery (Volume-dependent, confirm usage estimate with client)
Scale Economics: Based on Starter Offer
Using Overhear Local Brand Monitor at $1.5K/client. Platform: TBD (contact vendor). Labor: 4h/client × $75/hr.
Net = MRR - platform cost - labor (4h/client × $75/hr).
Investment Decision Framework
Strategic vetting analysis for Overhear
Consider
Favorable fit, worth a closer look
Buy If
5Your clients need competitive intelligence on Reddit or Hacker News specifically, where Overhear scans hourly and daily respectively.
You want to resell a listening tool without monthly subscription overhead, since Overhear's credit model lets you charge clients only for scans they use.
Your clients are SaaS makers or indie founders who need to monitor buying-intent posts and draft replies, a core use case Overhear supports.
You need per-scan cost receipts to show clients exactly what each monitoring run costs, which Overhear provides in its usage dashboard.
You manage multiple brands and want to run keyword scans at different intervals (X and Reddit hourly, LinkedIn every six hours, YouTube and web daily).
Skip If
5You need white-label client portals with your agency branding, since Overhear does not offer a verified white-label program.
Your clients require a fixed monthly cost for budgeting, because Overhear's prepaid credit model means costs vary with scan frequency and keyword count.
You need integrations with HubSpot, Salesforce, or other CRM platforms, as Overhear does not publish native integrations to those systems.
Your clients operate in regulated industries requiring HIPAA or SOC2 Type II compliance, since Overhear does not publish compliance certifications.
You want to automate lead routing or CRM sync from mentions, as Overhear's core function is labeling and dashboard display, not downstream automation.
Bottom Line
Overhear monitors brand, competitor, and product mentions across X, Reddit, LinkedIn, YouTube, Hacker News, and the web on a configurable schedule, labeling each mention by type (buying intent, complaint, bug report, question, praise). It charges per scan using prepaid credits rather than subscriptions, making it cost-transparent for agencies reselling to clients. Best suited for small marketing agencies, brand managers, and competitive intelligence teams who need scheduled listening without monthly commitments. The credit model works well for variable-volume clients, but requires agencies to manage billing infrastructure and educate clients on credit consumption patterns.
Reality Check
Overhear charges per scan using prepaid credits, so agencies must either front credit costs for clients or build a separate billing layer to pass through consumption. There is no verified white-label program, meaning client-facing dashboards display the Overhear brand, limiting white-label positioning.
Moderate effort: standard configuration with some customization needed
Academy for Overhear
Work through it in order: the course for this service first, then the modules behind it.
Course for this service
Overhear Agency Implementation, Monetizing Social Listening at Scale
Learn how to set up Overhear monitoring workflows for clients, price listening campaigns using credit-based billing, and deliver actionable reports from mention labeling across X, Reddit, LinkedIn, and YouTube. This course teaches agencies to build recurring revenue by reselling Overhear as a lead generation and reputation monitoring service without monthly subscription overhead.
Open the courseNo Academy modules are published for this service yet. Browse the full Academy
Core concepts
The mental model you need to price and scope the work.
- Overhear Credit Burn RateConcept
Overhear bills per scan from prepaid credits, so the agency's real cost driver is scan frequency multiplied by keyword count, not a seat count. A client monitored hourly across 40 keywords burns credits roughly 24 times faster than the same client on a daily cadence. Before quoting a retainer, run a one-week pilot at the client's intended cadence, read the per-scan cost receipts in the usage dashboard, and multiply. The $10 pack (6,000 credits), $25 pack (16,000 plus 1,000 bonus), and $50 pack (35,000 plus 5,000 bonus) give you three top-up sizes to map against that measured burn. Agencies that skip the pilot tend to underprice variable-volume clients and absorb the overage; agencies that measure first can set a scan cadence the retainer actually covers and sell cadence upgrades as a paid tier.
- Escalation Cost FloorConcept
Escalation Cost Floor is the minimum monthly retainer a listening engagement can carry once you price the response obligation, not the monitoring. Coverage and query volume are the cheap half: a platform watching 25 million sources or 13 billion pages daily costs roughly the same whether anyone reads the output or not. The expensive half is what happens when a negative mention lands at 2am and a client expects a human to triage, draft, and route it before their morning standup. That obligation sets a floor below which the retainer cannot go, because analyst hours and on-call coverage do not scale down with mention volume. Agencies that quote on dashboard seats rather than escalation cadence routinely sign retainers that lose money on the first real incident. Price the review rhythm the client receives, and treat the monitoring subscription as an input cost inside that number.
- Interpretation Margin LayerConcept
Interpretation Margin Layer is the gap between what a listening platform surfaces and what a client can act on, and that gap is where agency revenue actually lives. Mention counts, sentiment scores, and share-of-voice percentages are commodity outputs any subscription produces; the defensible layer is the analyst who reads a spike, separates signal from bot noise, and writes the response plan. Price the retainer against the review cadence and decision output, not against source coverage. A concrete illustration: Instagram averages 4.2% engagement across 13 industries in 2026, a benchmark that means nothing until an analyst maps a client's account against it and recommends a cadence change. Platforms such as YouScan, Brandwatch, and Awario all surface the raw data; the margin sits in the interpretation step, which is why agencies that sell dashboards alone compete on price while those selling quarterly decision reviews hold rate.
Decision and risk
How to judge the fit, and the ways it goes wrong.
- When to Adopt Overhear: Only for Variable-Volume Clients Below 35,000 Credits a MonthEvaluation Rule
Adopt Overhear only when you can meter credit burn per client and rebill it, and keep subscription-based listening tools for accounts that need continuous coverage.
- Social Listening Rule: Price the Review Cadence, Not the Dashboard SeatEvaluation Rule
Scope the retainer around the decisions and review cadence the client receives, and price analyst interpretation, escalation coverage, and query maintenance as line items separate from platform access.
- Should Your Agency Adopt Overhear? (Prepaid Credit Listening vs Retainer Commitments)Decision Framework
IF your client roster has variable mention volume and you want listening billed per scan rather than per seat, THEN Overhear's prepaid credit packs ($10 for 6,000 credits, $25 for 16,000 plus 1,000 bonus, $50 for 35,000 plus 5,000 bonus) let an agency buy capacity once and draw it down across accounts. IF you need sentiment scoring depth, share-of-voice dashboards, or multi-year historical backfill, THEN skip it: Overhear labels mentions by type (buying intent, complaint, bug report, question, praise) across X, Reddit, LinkedIn, YouTube, Hacker News and the web, but the value score of 2.1 signals thin analytics beyond that labeling.
- The Overhear Credit Burn Trap: Why Agencies Fail With Prepaid Scan BudgetsFailure Pattern
- The Mention-Volume Trap: Why Social Listening Deliverables Stall After the First Client ReadoutFailure Pattern
Delivery system
Blueprints and procedures for running it as a service.
- Overhear Buying-Intent Lead Feed (5-7 days)Implementation Blueprint
Agencies configure Overhear keyword scans across X, Reddit, LinkedIn, YouTube, Hacker News and the web, then hand clients a weekly feed of mentions labeled as buying intent, complaint, bug report, question or praise, priced against prepaid scan credits instead of a subscription.
- Overhear Client Keyword Set and Scan Cadence Setup (Onboarding)Operating Procedure
11 modules selected for Overhear
Frequently Asked Questions
Answers about pricing, setup, implementation
Overhear scans X, Reddit, LinkedIn, YouTube, Hacker News, and the web for mentions of keywords you specify, running on a schedule you set. Each mention is labeled by type (buying intent, complaint, bug report, question, praise, or other), and you see per-scan cost receipts in a usage dashboard. Agencies can use it to monitor brand reputation, track competitor mentions, find buying-intent leads, and surface customer complaints for client accounts.
Overhear has a free plan; its paid prices are not published.
No verified white-label program is available. Client-facing surfaces display the Overhear brand, so you cannot present a fully branded portal to clients. You can resell the service as a managed listening tool under your agency's service offering, but the dashboard and reports will show Overhear branding.
Overhear does not publish native integrations with HubSpot, Salesforce, or other CRM platforms. It functions as a standalone listening tool with a usage dashboard and per-scan receipts. Agencies must manually export findings or use the dashboard directly with clients.
Setup is minimal once your agency account is configured. You add a keyword, select scan frequency (hourly, six-hourly, or daily), and start receiving labeled mentions. First results appear within the scan interval you choose. Onboarding a client typically takes 10-15 minutes to configure keywords and explain the dashboard.
Overhear is built for solo founders and indie SaaS makers who need to monitor product mentions and buying-intent signals. It also serves small marketing agencies, brand and reputation managers, and competitive intelligence teams. Any client in B2B SaaS, e-commerce, or consumer tech who wants to track Reddit and Hacker News discussions about their product or competitors is a strong fit.
Overhear provides per-scan cost receipts, so you can pass through credit consumption directly or bundle scans into a fixed retainer. For example, if a client's typical monthly monitoring uses 2,640 credits (about 14 mentions per scan at default cadence), you can purchase the 35,000-credit pack for $50 USD and allocate a portion to that client's retainer. Unused credits are refundable within 14 days, so you can test pricing with clients before committing.
Yes. You can set up separate scans for each keyword or brand, each with its own schedule. Costs are per scan, so monitoring three keywords at default cadence (X and Reddit hourly, LinkedIn six-hourly, YouTube and web daily) would consume approximately 7,920 credits per month based on typical mention volumes.