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Turn traffic into pipeline and prospects into customers
For account executives and sales engineers looking for a solution to manage their insights and sales data
Docket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
Intended to be used during a live stream, this parser will poll for new donations based on a comma-delimited list of ids and display them in a frameless background with a total. Colors can be changed without closing the display to support streamers using a chroma key.
Licensed under GPL version 3
This is a web log file analyzer we are making using python. First the IIS parsing engine wil be built and then Apache and possibly other servers. It is going to support multiple log files from any date and output the statistics in html formatted files, incorporating automatically build charts. It will be a pure python solution which is going to be self contained, ie no installation will be required other from the standard python modules.
Webstats Solr is an attempt to make Apache Access log easier to Data Mine. By adding a powerful Search Engine (SOLR) as a Backend and using Java Script and HTML and maybe PHP I hope to out date AWStats.
Bring Dynamics 365 and Salesforce wherever you go with Resco’s solution. With powerful offline features and reliable data syncing, your team can access CRM data on mobile devices anytime, anywhere. This saves time, cuts errors, and speeds up customer visits.
HiLexed 2 is a dynamic hierarchical LL-parser system with integrated lexing. It features a powerful unlimited look-ahead, look-ahead compression*, dynamic rules and left-recursion*. * = Under development
A powerfull tool for analysing application servers logs (websphere, websphere portal, j2ee, custom) in a cluster (or not). It can analyse any log format thanks to a parser plugin approache. You can easily develop your own parser in java (for jboss, bea,.
jwebstats is an application to generate web site statistics and reports based upon Apache Web Server log files. The application is run from the command line and generates HTML reports.
Pix 6.3 Parser is a PERL-based utility for parsing the particular logging style of PIX OS 6.3 when you have object-groups tied to ACLs via access-groups. It outputs a detailed HTML page, an RSS feed and helps you compile and track network abuse reports.
Web analyzer for logs from different formats, which output XML reports, multi-hosts logs file supported, possibility to apply an XSL page to ouput in HTML, and use of SVG to make the graphs.
The project includes the library to parse HTTP_USER_AGENT
SoftCo: Enterprise Invoice and P2P Automation Software
For companies that process over 20,000 invoices per year
SoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
ShamStats is a program which parses server logs from Counter-Strike:Source servers and then outputs all player statistics in HTML. Written in JAVA, this program runs on all platforms with JRE.
This is a collection of REST specifications, and implementations of those specs, for very low-level information sharing and workflow operations using REST actions over HTTP.
Implementations are in various languages, mainly Java, Python, and Ruby.
A simple yet useful tool for browsing instant messenger log files (like Trillian, ICQ or Gaim) and also HTML server log files.
It has some interesting search modes and provides functionality that most messengers don't.