Persistent open-web intelligence
for teams and agents.
Put any objective under continuous surveillance. Mel discovers and connects the web’s microscopic signals at scale, delivered as raw event streams to your data stack or synthesized intelligence reports to your team.
From $150 per investigation · No integration needed
GoalsNew goal
Already running
Fintechs posting Kafka roles whose engineers complain about streaming costs in public14
Hospitals in Texas and Ohio with X-ray tenders closing in under 90 days7
Enterprises moving off Elasticsearch, and which tool each one is moving to11
Research periodLast 90 daysDepthDeep
ModeOne-offKeep running
Deliver to
SlackEmailAPI
SlackEmailAPIMel will look at
LinkedInJob posts
Stack Overflow
GitHubCompany sites+ anything else it discovers
LinkedInJob postsStack OverflowGitHubCompany sites+ anything else it discovers
How teams use Mel to uncover hard-to-find intelligence
“We used Skymel to identify high-potential school photography prospects in France and Belgium. It went beyond just building a prospect list. It researched each company in depth, identified relevant signals, and helped us understand why and when a prospect might be worth pursuing. We particularly liked how the research translated into clear recommendations on who to approach, why they were relevant, and what our sales angle should be. It saved our team significant research time while producing insights that would have been difficult to build manually at this scale.”
Eric SémanneCEO, PixFirst
“We gave Mel a single objective. What came back was far beyond what we expected. A structured view of the AI PR landscape, the agencies doing the most relevant work, the clients behind that work, and the narratives connecting it all. We were able to turn that intelligence directly into a focused go-to-market strategy for PromptPR.”
Wilson CraigSVP/GM, MindsharePR · Co-Founder & CEO, PromptPRMel works across the public web.
Give it an objective. Mel figures out where to look, follows the relevant signals, and expands into new sources as the investigation develops.
Public world · followed continuously
LinkedIn
X
Reddit
YouTube
TikTok
Instagram
Threads
Facebook
Discord
TwitchGitHubStack Overflow
Hacker News
Medium
Substack
Quora
G2
Glassdoor
Product Hunt
CrunchbaseCareers pagesCompany sitesEngineering blogsNewslettersPodcastsConference talksReviewsCommunity forumsStatus pagesProduct updatesRelease notesPublic filingsEarnings callsPatent filingsProcurementPublic RFPsRegulationTrade pressNewsApp storesYour systems · connected
Salesforce
HubSpot
Snowflake
BigQuery
Databricks
Redshift
Zendesk
Intercom
Gainsight
Amplitude
Mixpanel+ anything relevant Mel discovers
Military-grade intelligence.
Now running continuously for your team.
Open Source Intelligence (OSINT) is the discipline of finding, connecting, and interpreting fragmented public information to understand what is actually happening.
For decades, doing it well meant specialist teams manually working across public records, technical communities, filings, people, companies, code, and countless other sources, connecting small fragments that rarely meant much on their own.
Mel automates that discipline for everyone else.
Continuous microscopic fragment tracking
- Public repositoryTracked
A dependency changes in a public repository.
- Careers pageTracked
A technical team starts hiring for a new stack.
- Technical forumTracked
An engineer asks an unusually specific question.
- TenderTracked
A requirement appears deep inside a tender.
- Company registryTracked
A subsidiary shows up in a registry.
- Professional profileTracked
A person moves into a role that changes the picture.
Mel follows these microscopic public signals across sources, resolves who and what they belong to, and connects them into intelligence around your objective.
How Mel works.
Mel takes your objective and builds a structured picture from the public web. It discovers the signals that matter, resolves the people and organizations behind them, connects related activity across sources and time, and builds a graph around what you are trying to understand.
Finds the microscopic signals relevant to your objective
The same public activity can mean very different things depending on what you are trying to understand. Mel evaluates what it finds against the objective itself, and surfaces the small signals that matter, including ones that appear somewhere you did not know to look.
Resolves who and what they belong to
A person may appear as a developer handle, conference speaker, forum account, or professional profile. A company may appear through subsidiaries, products, projects, legal entities, and domains. Mel connects those fragments back to the underlying people, organizations, teams, technologies, and projects.
Connects signals across sources and time
One signal can mean very little. Several related signals can reveal what is actually happening. Mel connects the sequence rather than treating each source as a separate result.
Builds the graph around the objective
Mel maintains the people, companies, teams, technologies, projects, events, and relationships it discovers, so the investigation becomes a structured model rather than a collection of pages. If you keep the objective running, the same graph becomes the baseline for everything that happens next.
6 new public signals3 match your objective
ObjectiveEU logistics firms that hired a Head of Data this quarter and still run on-prem SQL Server
Finds the microscopic signals relevant to your objective
The same public activity can mean very different things depending on what you are trying to understand. Mel evaluates what it finds against the objective itself, and surfaces the small signals that matter, including ones that appear somewhere you did not know to look.
6 new public signals3 match your objective
ObjectiveEU logistics firms that hired a Head of Data this quarter and still run on-prem SQL Server
Resolves who and what they belong to
A person may appear as a developer handle, conference speaker, forum account, or professional profile. A company may appear through subsidiaries, products, projects, legal entities, and domains. Mel connects those fragments back to the underlying people, organizations, teams, technologies, and projects.
4 accounts on 4 sites1 person
GitHubhalden-data/dreyesLinkedInDana Reyes, Head of DataForumuser dreyes_sqlSame person?
Connects signals across sources and time
One signal can mean very little. Several related signals can reveal what is actually happening. Mel connects the sequence rather than treating each source as a separate result.
3 signals across 3 weeks1 read
LinkedInDana Reyes becomes Head of Data.
A role appears requiring SQL Server 2016 and SSIS.
Stack OverflowAn engineer asks how to migrate an on-prem SQL deployment.
Mel’s readHalden Freight is moving toward a data-stack modernization.
Builds the graph around the objective
Mel maintains the people, companies, teams, technologies, projects, events, and relationships it discovers, so the investigation becomes a structured model rather than a collection of pages. If you keep the objective running, the same graph becomes the baseline for everything that happens next.
Everything Mel found, kept as a graphselect any node
leadsbelongs torunsshowingmember of
Run a deep investigation once. Or keep the picture alive.
Every investigation starts with an objective, a time range, and a depth. Mel researches the full scope, connects activity across sources and time, resolves the entities involved, and builds the graph around the objective.
One-offJan 2024 → Sep 2026 · Deep. Mel reconstructs the full period and returns finished intelligence.
Jan 2024Sep 2026
Finished intelligenceHalden Freight is moving toward a data-stack modernization.
PersistentThe initial graph becomes the baseline. From then on, Mel follows the delta: new signals, entities and relationships, and anything that changes the read.
Halden posts a Snowflake engineer role.
Read updated: Migration target: SnowflakeSent to #data-pipelineDana Reyes presents a plan to retire on-prem SQL.
Read updated: Timing: this quarterSent to #data-pipelineJan 2024Baseline · now
See the logic behind every finding.
Each finding links to every source and shows what is still unconfirmed.
Confidence
Signals behind it
What points another way
Halden renewed an on-prem support contract last year.
What remains unclear
No public source confirms budget or vendor selection.
Reach the new data leader while the migration is still taking shape.
Intelligence for any objective.
Everything you have just seen is one engine, not one workflow.
Objective
Where two-year data retention is creating new budgets across European insurers.
Time rangeLast 6 monthsResearch depthDeepModeOne-offPersistent
One intelligence layer. Two outputs.
The same graph feeds your team, your internal systems, and your research agents.
New signal3 Oct · A Halden engineer asks how to migrate an on-prem SQL deployment
3 Oct · A Halden engineer asks how to migrate an on-prem SQL deploymentHalden Freight is moving toward a data-stack modernizationUpdated
MelAPP
Halden Freight is moving toward a data-stack modernization
New Head of Data, a SQL Server 2016 role, and a public migration question, all within five weeks.
Slack · Email · Reports
{
"signal_type": "leadership_change",
"entity": "Halden Freight",
"related_entities": ["Dana Reyes", "Data Team"],
"objective_relevance": 0.94,
"state_change": "new"
}
REST API · Webhooks · Structured feeds · CSV
Persistent open-web intelligence for whatever you need to know.
Set the objective. Mel works the public web around it.
From $150 · No integration needed