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Draftly is the all-in-one LinkedIn automation suite built to help you grow quality following and business on LinkedIn with personalised content creation, automated scheduling, and thoughtful comment generation. Easily repurpose blogs, videos, trending news, and tweets into unique LinkedIn posts with your insights. LinkedIn-approved and risk-free, Draftly offers plans tailored for individuals, businesses, and agencies looking to elevate their LinkedIn presence without compromising authenticity.
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Draftly's answer:
Raftwise's personalized AI content creation which includes the users' thoughts, opinions, and insights makes Raftwise a unique tool for LinkedIn content generation in contrast to other generic AI tools that do not consider the users' voice.
Draftly's answer:
A person should choose Raftwise over its competitors as Raftwise allows you to include your thoughts and insights during content generation. This makes the users' LinkedIn engagement authentic and personalized and helps them build a quality followership.
Draftly's answer:
Draftly's answer:
Brand Story Raftwise was built not as a subscription product, but as the solution to a problem that one of our co-founders was facing himself. He wanted to be more active on LinkedIn to build more connections and get quality leads for his software development business - our sister company, RaftLabs. He had tried multiple AI tools for LinkedIn content generation as he had no time to write all the posts himself and be consistent with them; but he found that none of the tools, despite their high costs, consistently produced the quality of content that he wanted - it was just generic AI content that didnโt resonate with any of his audience, and obviously didnโt get him any quality connections. He also tried hiring someone to do the job for him, but for a growing startup, resources were a constraint. Frustrated, he decided to build a tool himself that would help him achieve his LinkedIn engagement goals. Tada! And so, Raftwise was born. Our co-founders realised that the problem they faced was common, and many others were also struggling to use LinkedIn effectively without the right tool to aid them. Thus, they decided to launch Raftwise at a price that would be affordable for anyone, be it small-to-mid-sized companies, agencies, founders, or solopreneurs. Raftwise exists because we have been in your shoes. We know exactly what you need to build a LinkedIn presence that will fulfil all your goals: promoting your brand, generating quality leads, or standing out as a thought leader in your industry!
Raftwise is the tool I've been searching for as a content writer looking to expand my network. It's incredibly useful, allowing me to transform my thoughts into words and post them in just 3-5 minutes. Raftwise has quickly become one of my top favorite tools.
Raftwise is an amazing comment generator that summarizes the posts for us. It generates various types of comments in just a fraction of a second. We have various options to choose from for a single comment! Yes, it indeed saves our time as well. Not only for comments but also for creating amazing content for LinkedIn posts. Who doesn't love such a tool?
Post a comment on LinkedIn in fewer than 5 clicks... What can be a better ask than Raftwise? Love it!
Based on our record, GitHub seems to be a lot more popular than Draftly. While we know about 2476 links to GitHub, we've tracked only 1 mention of Draftly. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
"""Clones a single branch of a GitHub repository into a temporary directory for local scanning.""" Import logging Import shutil Import subprocess Import tempfile Logger = logging.getLogger(__name__) Class RepoFetchError(RuntimeError): """Raised when the target repository/branch cannot be cloned.""" Class RepoFetcher: """Shallow-clones a single branch of a repository so its tests can be scanned... - Source: dev.to / about 7 hours ago
# video-meta.yml Topic: > Walking through how we cut cold-start time on a Lambda-backed GraphQL API from 2.4s to under 400ms, including the two things that didn't work. Target_keyword: lambda cold start optimization Audience: backend devs who already ship serverless, not beginners Model_channels: - the three channels currently ranking for this keyword Links: repo: https://github.com/... slides:... - Source: dev.to / 1 day ago
Import struct, json, urllib.request REL = "https://github.com/{owner}/{repo}/releases/download/{tag}/" PART = ["...part1.zip.001", "...part2.zip.002", "...part3.zip.003"] SIZE = [1992294400, 1992294400, 1893639808] # from the releases API Def grab(part, start, end, out): # HTTP range fetch req = urllib.request.Request(REL + PART[part], Headers={"Range":... - Source: dev.to / 6 days ago
Is published at https://github.com/.keys so an SSH server to which you connect could do a reverse lookup. This is the reason why my ~/.ssh/config has those 2 lines at the end:- Source: Hacker News / 13 days agoHost *.
All of this assumes you can actually inspect what the agent did โ the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / 14 days ago
I built two products out of which one is live - Draftly[1] We tried different LLM models but always returned back to Open AI. [1] https://draftly.so. - Source: Hacker News / almost 2 years ago
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
Leonard for Linkedin - Save time on LinkedIn with automation
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VS Code - Build and debug modern web and cloud applications, by Microsoft
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