[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.] #  @DSPyOSS DSPy DSPy posts on X about llm, context engineering, algo, context window the most. They currently have XXXXX followers and XX posts still getting attention that total XXX engagements in the last XX hours. ### Engagements: XXX [#](/creator/twitter::1915045571485990912/interactions)  - X Week XXXXXX -XX% - X Month XXXXXXX +79% ### Mentions: X [#](/creator/twitter::1915045571485990912/posts_active)  - X Week XX -XX% - X Month XX +120% ### Followers: XXXXX [#](/creator/twitter::1915045571485990912/followers)  - X Week XXXXX +4.10% - X Month XXXXX +19% ### CreatorRank: XXXXXXXXX [#](/creator/twitter::1915045571485990912/influencer_rank)  ### Social Influence [#](/creator/twitter::1915045571485990912/influence) --- **Social category influence** [technology brands](/list/technology-brands) XXXX% **Social topic influence** [llm](/topic/llm) 19.05%, [context engineering](/topic/context-engineering) 9.52%, [algo](/topic/algo) 4.76%, [context window](/topic/context-window) 4.76%, [devs](/topic/devs) 4.76%, [rl](/topic/rl) 4.76%, [agentic](/topic/agentic) 4.76%, [realise](/topic/realise) XXXX% **Top accounts mentioned or mentioned by** [@shashikant86](/creator/undefined) [@hammer_mt](/creator/undefined) [@sergeykarayev](/creator/undefined) [@lateinteraction](/creator/undefined) [@isdineshhere](/creator/undefined) [@ethan_wickstrom](/creator/undefined) [@noah_vandal](/creator/undefined) [@maximerivest](/creator/undefined) [@lmeyerov](/creator/undefined) [@heylegacyguy](/creator/undefined) [@dosco](/creator/undefined) [@utopicdev](/creator/undefined) [@karpathys](/creator/undefined) [@llmwizard](/creator/undefined) [@karpathy](/creator/undefined) [@hammermt](/creator/undefined) [@rchaves](/creator/undefined) [@zaachsiieegeel](/creator/undefined) [@tkeyo](/creator/undefined) [@aakashg0](/creator/undefined) ### Top Social Posts [#](/creator/twitter::1915045571485990912/posts) --- Top posts by engagements in the last XX hours "The core of dspy.SIMBA aligns perfectly with @karpathy's quote: do rollouts stuff them into one context window (along with the rewards) review/reflect on what went well or not to obtain string "lesson" to be added to system prompt But there's plenty more in the algo"  [@DSPyOSS](/creator/x/DSPyOSS) on [X](/post/tweet/1944533892096209295) 2025-07-13 23:06:22 UTC 7712 followers, 6326 engagements "Indeed. As @MaximeRivest also says it just turns out that many LLM devs have not yet had to actually program any AI softwarein which they need to manage program complexity. Every once in a while some do. In 2024 that became flow engineering. In 2025 context engineering"  [@DSPyOSS](/creator/x/DSPyOSS) on [X](/post/tweet/1945526081697566748) 2025-07-16 16:48:58 UTC 7709 followers, 2051 engagements "Awesome to see Amazon AWS build on DSPy to help their customers for prompt migration 👀 Delivering up to XX% gains in their evals"  [@DSPyOSS](/creator/x/DSPyOSS) on [X](/post/tweet/1946204351472529767) 2025-07-18 13:44:10 UTC 7707 followers, 17K engagements "@sergeykarayev There are dozens and dozens. We post them literally all the time. Just scroll @DSPyOSS. Will collect a few examples for you below There's no such thing as the DSPy team really. Almost everyone you see on here are regular users who love the framework"  [@DSPyOSS](/creator/x/DSPyOSS) on [X](/post/tweet/1946337099285704991) 2025-07-18 22:31:40 UTC 7711 followers, 8650 engagements "multi-agent LLM system deployed in the real world to improve doctor-patient communication optimized prompts using DSPy SIMBA even with only XXX annotated examples we got strong performance across empathy completeness and correctness"  [@DSPyOSS](/creator/x/DSPyOSS) on [X](/post/tweet/1948398583184519366) 2025-07-24 15:03:16 UTC 7716 followers, 4267 engagements "Yes this is a description of how the dspy.SIMBA optimizer works. a review/reflect stage along the lines of "what went well what didn't go so well what should I try next time" etc. and the lessons from this stage feel explicit like a new string to be added to the system prompt for the future optionally to be distilled into weights (/intuition) later a bit like sleep. Distilling through the weights is the dspy.BetterTogether strategy"  [@DSPyOSS](/creator/x/DSPyOSS) on [X](/post/tweet/1944437156673474705) 2025-07-13 16:41:58 UTC 7716 followers, 75.2K engagements "😂 hilarious & insightful post "Context Engineering is. Wait. I just described programming 🤯. How long till people realise this and switch to @DSPyOSS""  [@DSPyOSS](/creator/x/DSPyOSS) on [X](/post/tweet/1945428389734568367) 2025-07-16 10:20:47 UTC 7709 followers, 2980 engagements "DSPy: Replacing LLM Musings with Modules at the @pyowa meetup today"  [@DSPyOSS](/creator/x/DSPyOSS) on [X](/post/tweet/1947865015739981894) 2025-07-23 03:43:03 UTC 7687 followers, 5345 engagements
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
DSPy posts on X about llm, context engineering, algo, context window the most. They currently have XXXXX followers and XX posts still getting attention that total XXX engagements in the last XX hours.
Social category influence technology brands XXXX%
Social topic influence llm 19.05%, context engineering 9.52%, algo 4.76%, context window 4.76%, devs 4.76%, rl 4.76%, agentic 4.76%, realise XXXX%
Top accounts mentioned or mentioned by @shashikant86 @hammer_mt @sergeykarayev @lateinteraction @isdineshhere @ethan_wickstrom @noah_vandal @maximerivest @lmeyerov @heylegacyguy @dosco @utopicdev @karpathys @llmwizard @karpathy @hammermt @rchaves @zaachsiieegeel @tkeyo @aakashg0
Top posts by engagements in the last XX hours
"The core of dspy.SIMBA aligns perfectly with @karpathy's quote: do rollouts stuff them into one context window (along with the rewards) review/reflect on what went well or not to obtain string "lesson" to be added to system prompt But there's plenty more in the algo" @DSPyOSS on X 2025-07-13 23:06:22 UTC 7712 followers, 6326 engagements
"Indeed. As @MaximeRivest also says it just turns out that many LLM devs have not yet had to actually program any AI softwarein which they need to manage program complexity. Every once in a while some do. In 2024 that became flow engineering. In 2025 context engineering" @DSPyOSS on X 2025-07-16 16:48:58 UTC 7709 followers, 2051 engagements
"Awesome to see Amazon AWS build on DSPy to help their customers for prompt migration 👀 Delivering up to XX% gains in their evals" @DSPyOSS on X 2025-07-18 13:44:10 UTC 7707 followers, 17K engagements
"@sergeykarayev There are dozens and dozens. We post them literally all the time. Just scroll @DSPyOSS. Will collect a few examples for you below There's no such thing as the DSPy team really. Almost everyone you see on here are regular users who love the framework" @DSPyOSS on X 2025-07-18 22:31:40 UTC 7711 followers, 8650 engagements
"multi-agent LLM system deployed in the real world to improve doctor-patient communication optimized prompts using DSPy SIMBA even with only XXX annotated examples we got strong performance across empathy completeness and correctness" @DSPyOSS on X 2025-07-24 15:03:16 UTC 7716 followers, 4267 engagements
"Yes this is a description of how the dspy.SIMBA optimizer works. a review/reflect stage along the lines of "what went well what didn't go so well what should I try next time" etc. and the lessons from this stage feel explicit like a new string to be added to the system prompt for the future optionally to be distilled into weights (/intuition) later a bit like sleep. Distilling through the weights is the dspy.BetterTogether strategy" @DSPyOSS on X 2025-07-13 16:41:58 UTC 7716 followers, 75.2K engagements
"😂 hilarious & insightful post "Context Engineering is. Wait. I just described programming 🤯. How long till people realise this and switch to @DSPyOSS"" @DSPyOSS on X 2025-07-16 10:20:47 UTC 7709 followers, 2980 engagements
"DSPy: Replacing LLM Musings with Modules at the @pyowa meetup today" @DSPyOSS on X 2025-07-23 03:43:03 UTC 7687 followers, 5345 engagements
/creator/x::DSPyOSS